%3CLINGO-SUB%20id%3D%22lingo-sub-446179%22%20slang%3D%22en-US%22%3EFinding%20the%20Optimal%20Parameters%20for%20Laser%20Welding%20of%20Steel%20Plates%20with%20JMP%20(2022-EU-45MP-1013)%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-446179%22%20slang%3D%22en-US%22%3E%3CTABLE%20border%3D%221%22%20width%3D%22100%25%22%3E%0A%3CTBODY%3E%0A%3CTR%3E%0A%3CTD%20style%3D%22%20text-align%3A%20center%3B%20%22%3E%3CSTRONG%3EContributed%20Paper%20Winner%3C%2FSTRONG%3E%3C%2FTD%3E%0A%3C%2FTR%3E%0A%3C%2FTBODY%3E%0A%3C%2FTABLE%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3ECLECIM%3C%2FSPAN%3E%3CSPAN%3E%C2%AE%20%3C%2FSPAN%3E%3CSPAN%3ELaser%20Welding%20Machines%3CBR%20%2F%3E%3C%2FSPAN%3E%3CSPAN%3EFinding%20the%20optimal%20parameters%20for%20laser%20welding%20of%20steel%20plates%20with%20JMP%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3ESte%CC%81phane%20GEORGES%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3ER%26amp%3BD%20and%20Data%20Science%20Project%20Manager%2C%20Dept.%20of%20Technology%20and%20Innovation%20Clecim%20SAS.%2C%20%3C%2FSPAN%3E%3CSPAN%3E41%20route%20de%20Feurs%2C%20CS%2050099%2C%2042600%20Savigneux%20Cedex%2C%20%3C%2FSPAN%3E%3CSPAN%3EFrance%3C%2FSPAN%3E%3C%2FP%3E%0A%3CHR%20%2F%3E%0A%3CP%3E%3CSTRONG%3EPurpose%20%3C%2FSTRONG%3E%3CSPAN%3E%E2%80%93%20%3C%2FSPAN%3E%3CSPAN%3ETo%20be%20considered%20good%2C%20a%20weld%20bead%20must%20meet%20two%20criteria%3A%20it%20must%20be%20free%20of%20defects%20(such%20as%20spatter%2C%20humpings%2C%20underfill%2C%20holes%2C%20etc.)%20and%20resistant%20(assessed%20by%20means%20of%20an%20Erichsen-type%20cupping%20test).%20The%20search%20for%20the%20optimal%20parameters%20for%20laser%20welding%20steel%20plates%20is%20already%20extremely%20demanding%20due%20to%20this%20double%20constraint.%20But%20if%2C%20on%20the%20top%20of%20that%2C%20you%20consider%20the%20productivity%20of%20the%20processing%20line%20and%20the%20quality%20of%20the%20incoming%20material%2C%20then%20the%20task%20becomes%20a%20challenge!%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3EApproach%20%3C%2FSTRONG%3E%3CSPAN%3E%E2%80%93%20%3C%2FSPAN%3E%3CSPAN%3EAnd%20that%20is%20precisely%20this%20challenge%20that%20was%20overcome%20with%20the%20use%20of%20JMP.%20To%20achieve%20this%20result%2C%20many%20steps%20were%20implemented%2C%20all%20of%20them%20requiring%20the%20use%20of%20a%20JMP%20platform%20or%20feature%3A%3C%2FSPAN%3E%3C%2FP%3E%0A%3COL%3E%0A%3CLI%3E%3CSPAN%3EBase%20material%20strength%20analysis%2C%20qualification%20of%20the%20two%20plates%20to%20be%20welded%20%3C%2FSPAN%3E%3CSPAN%3E%5BGraph%20builder%2C%20Map%20shape%2C%20ANOVA%2C%20Dashboard%5D%20%3C%2FSPAN%3E%3C%2FLI%3E%0A%3CLI%3E%3CSPAN%3ESynthesis%20of%20the%20visual%20observations%2C%20production%20of%20the%20weld%20defects%20map%2C%20which%20determines%20a%20study%20area%20of%20irregular%20shape%20where%20the%20weld%20seam%20is%20flawless.%20%3C%2FSPAN%3E%3CSPAN%3E%5BGraph%20builder%2C%20Multiple%20pictures%20hover%20label%5D%3C%2FSPAN%3E%3C%2FLI%3E%0A%3CLI%3E%3CSPAN%3EWeld%20strength%20analysis%20and%20optimization%20on%20a%20non-homogeneous%20material%20and%20on%20the%20defined%20defect-free%20zone%2C%20given%20as%20a%20set%20of%20candidate%20points.%20%3C%2FSPAN%3E%3CSPAN%3E%5BCustom%20design%2C%20Split-plot%2C%20Covariates%2C%20Uncontrolled%20factor%2C%20Fit%20model%2C%20Prediction%20and%20Contour%20profilers%5D%20%3C%2FSPAN%3E%3C%2FLI%3E%0A%3C%2FOL%3E%0A%3CP%3E%3CSTRONG%3EFindings%20and%20Value%20%3C%2FSTRONG%3E%3CSPAN%3E%E2%80%93%20%3C%2FSPAN%3E%3CSPAN%3EFor%20the%20given%20material%2C%20the%20objective%20was%20achieved%20since%20all%20the%20steps%20allowed%20to%20propose%20and%20validate%20a%20set%20point%20with%20a%20maximum%20productivity%20and%20a%20good%20weld%2C%20both%20defect-free%20and%20resistant%2C%20JMP%20being%20pliable%20and%20able%20to%20adapt%20to%20all%20the%20constraints%20of%20the%20process%20and%20the%20material.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3E%3CSTRONG%3EKey%20words%3C%2FSTRONG%3E%3A%20%3C%2FSPAN%3E%3CSPAN%3EJMP%2C%20laser%20welding%2C%20design%20of%20experiments%2C%20DoE%2C%20covariates%2C%20LW21M%2C%20LW21H%3C%2FSPAN%3E%3C%2FP%3E%0A%3CHR%20%2F%3E%0A%3CP%3E%3CVIDEO%20id%3D%22hyperplayer%22%20class%3D%22video-js%22%20controls%3D%22controls%22%20width%3D%22640px%22%20height%3D%22360px%22%20data-account%3D%225420904996001%22%20data-player%3D%22default%22%20data-embed%3D%22default%22%20data-video-id%3D%226294773760001%22%20data-playlist-id%3D%22%22%20data-application-id%3D%22%22%3E%3C%2FVIDEO%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CDIV%20id%3D%22hypertranscript%22%20style%3D%22overflow-y%3A%20scroll%3B%20height%3A%20150px%3B%20width%3A%20640px%3B%20position%3A%20relative%3B%20padding%3A%201em%201.25em%3B%20border%3A%201px%20dashed%20%23999%3B%20display%3A%20inline-block%3B%22%3E%0A%3CARTICLE%3E%0A%3CSECTION%20class%3D%22active%22%3E%0A%3CP%20data-tc%3D%2200%3A00%3A01%22%3E%3CSPAN%20data-m%3D%221560%22%20data-d%3D%22159%22%3EHello%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221760%22%20data-d%3D%22559%22%3E%20everyone.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A02%22%3E%3CSPAN%20data-m%3D%222480%22%20data-d%3D%22319%22%3EThank%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222800%22%20data-d%3D%22160%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%223000%22%20data-d%3D%22160%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%223160%22%20data-d%3D%22520%22%3E%20attending%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%223720%22%20data-d%3D%22359%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%224160%22%20data-d%3D%22439%22%3Eexperience%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%224720%22%20data-d%3D%22440%22%3E%20sharing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%225240%22%20data-d%3D%22759%22%3E%20session%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%226200%22%20data-d%3D%22319%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%226520%22%20data-d%3D%22640%22%3E%20JMP.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A07%22%3E%3CSPAN%20data-m%3D%227840%22%20data-d%3D%22359%22%3EMy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%228200%22%20data-d%3D%22160%22%3E%20name%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%228400%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%228680%22%20data-d%3D%22400%22%3E%20Stephane%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%229080%22%20data-d%3D%22480%22%3E%20Georges%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A09%22%3E%3CSPAN%20data-m%3D%229640%22%20data-d%3D%22399%22%3EI'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2210080%22%20data-d%3D%22439%22%3E%20R%26amp%3BD%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2210560%22%20data-d%3D%22359%22%3E%20Project%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2211000%22%20data-d%3D%22519%22%3E%20Manager%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2211600%22%20data-d%3D%22200%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2211800%22%20data-d%3D%22719%22%3E%20Clecim%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2212680%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2212960%22%20data-d%3D%22199%22%3E%20I'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2213240%22%20data-d%3D%22199%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2213480%22%20data-d%3D%22240%22%3E%20keen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2213720%22%20data-d%3D%22599%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2215600%22%20data-d%3D%22400%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2216040%22%20data-d%3D%22720%22%3E%20science.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A17%22%3E%3CSPAN%20data-m%3D%2217640%22%20data-d%3D%22439%22%3EToday%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2218120%22%20data-d%3D%22239%22%3E%20we'll%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2218400%22%20data-d%3D%22200%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2218640%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2218840%22%20data-d%3D%22160%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2219040%22%20data-d%3D%22519%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2219720%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2220040%22%20data-d%3D%22240%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2220360%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2220560%22%20data-d%3D%22720%22%3E%20experiment%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2221400%22%20data-d%3D%22880%22%3E%20methodology%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A22%22%3E%3CSPAN%20data-m%3D%2222480%22%20data-d%3D%22399%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2222920%22%20data-d%3D%22239%22%3E%20more%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2223200%22%20data-d%3D%22600%22%3Especifically%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2223840%22%20data-d%3D%22239%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2224160%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2224360%22%20data-d%3D%22240%22%3E%20case%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2224840%22%20data-d%3D%22600%22%3E%20we%20encountered%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2225480%22%20data-d%3D%22239%22%3E%20when%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2225760%22%20data-d%3D%22239%22%3E%20trying%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2226080%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2226320%22%20data-d%3D%22600%22%3E%20find%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A27%22%3E%3CSPAN%20data-m%3D%2227960%22%20data-d%3D%22599%22%3Eoptimal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2228600%22%20data-d%3D%22879%22%3E%20parameters%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2229640%22%20data-d%3D%22719%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2230880%22%20data-d%3D%22359%22%3E%20laser%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2231280%22%20data-d%3D%22599%22%3E%20process.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A33%22%3E%3CSPAN%20data-m%3D%2233200%22%20data-d%3D%22399%22%3EDuring%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2233720%22%20data-d%3D%22640%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2235520%22%20data-d%3D%221000%22%3Epresentation%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2236840%22%20data-d%3D%22319%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2237200%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2237360%22%20data-d%3D%22200%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2237600%22%20data-d%3D%22199%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2238320%22%20data-d%3D%22240%22%3E%20how%20we%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2238920%22%20data-d%3D%22600%22%3EJMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2240440%22%20data-d%3D%22400%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2240880%22%20data-d%3D%22399%22%3E%20various%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2241360%22%20data-d%3D%22600%22%3E%20platform%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A42%22%3E%3CSPAN%20data-m%3D%2242480%22%20data-d%3D%22760%22%3Eand%20how%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2245080%22%20data-d%3D%22480%22%3E%20adapted%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2245560%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2245720%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2245840%22%20data-d%3D%22439%22%3E%20reality%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2246320%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2246560%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2246720%22%20data-d%3D%22600%22%3E%20field%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2247880%22%20data-d%3D%22359%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2248280%22%20data-d%3D%22320%22%3E%20taking%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2248680%22%20data-d%3D%22200%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2248920%22%20data-d%3D%22559%22%3E%20account%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A00%3A50%22%3E%3CSPAN%20data-m%3D%2250280%22%20data-d%3D%22600%22%3Ea%20very%20irregular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2250960%22%20data-d%3D%22359%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2251400%22%20data-d%3D%22719%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2254480%22%20data-d%3D%22280%22%3E%20and%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2254800%22%20data-d%3D%22240%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2255080%22%20data-d%3D%22800%22%3E%20imperfect%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2256040%22%20data-d%3D%22920%22%3E%20study%20matter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A00%22%3E%3CSPAN%20data-m%3D%2260080%22%20data-d%3D%22399%22%3EWithout%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2260560%22%20data-d%3D%22359%22%3E%20further%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2260960%22%20data-d%3D%22439%22%3E%20delay%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2261440%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2261640%22%20data-d%3D%22119%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2261800%22%20data-d%3D%22560%22%3E%20start%20my%20presentation%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A05%22%3E%3CSPAN%20data-m%3D%2265080%22%20data-d%3D%22799%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2266080%22%20data-d%3D%22480%22%3E%20telling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2266640%22%20data-d%3D%22640%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2267440%22%20data-d%3D%22320%22%3Ewho%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2267800%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2267960%22%20data-d%3D%22240%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2268240%22%20data-d%3D%22400%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2268720%22%20data-d%3D%22239%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2269000%22%20data-d%3D%2279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2269120%22%20data-d%3D%22560%22%3E%20do.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A11%22%3E%3CSPAN%20data-m%3D%2271800%22%20data-d%3D%22519%22%3EClecim%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2272320%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2272480%22%20data-d%3D%22159%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2272640%22%20data-d%3D%22679%22%3E%20engineering%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2273360%22%20data-d%3D%22239%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2273640%22%20data-d%3D%22519%22%3E%20production%20company%20of%20equipment%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A15%22%3E%3CSPAN%20data-m%3D%2275720%22%20data-d%3D%22200%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2275960%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2276080%22%20data-d%3D%22280%22%3E%20steel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2276400%22%20data-d%3D%22799%22%3E%20industry.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A17%22%3E%3CSPAN%20data-m%3D%2277560%22%20data-d%3D%22359%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2277960%22%20data-d%3D%22200%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2278160%22%20data-d%3D%22719%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2279360%22%20data-d%3D%22359%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2279720%22%20data-d%3D%22560%22%3E%20Montbrison%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2280360%22%20data-d%3D%22200%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2280560%22%20data-d%3D%22640%22%3E%20France%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2281360%22%20data-d%3D%22320%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2281720%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2281920%22%20data-d%3D%22599%22%3E%20surrounding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2282600%22%20data-d%3D%22480%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2283240%22%20data-d%3D%22719%22%3E%20Lyon.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A25%22%3E%3CSPAN%20data-m%3D%2285480%22%20data-d%3D%22359%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2285880%22%20data-d%3D%22320%22%3E%20history%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2286280%22%20data-d%3D%22239%22%3E%20of%20Clecim%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2287480%22%20data-d%3D%22280%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2287760%22%20data-d%3D%22239%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2288040%22%20data-d%3D%22399%22%3E%20new%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A28%22%3E%3CSPAN%20data-m%3D%2288520%22%20data-d%3D%22240%22%3Eas%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2288800%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2288960%22%20data-d%3D%22840%22%3E%20celebrated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2290120%22%20data-d%3D%22399%22%3E%20five%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2290560%22%20data-d%3D%22239%22%3E%20years%20ago%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2291600%22%20data-d%3D%22719%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2292640%22%20data-d%3D%22799%22%3E%20100th%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2293480%22%20data-d%3D%22879%22%3E%20anniversary.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A35%22%3E%3CSPAN%20data-m%3D%2295280%22%20data-d%3D%22359%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2295680%22%20data-d%3D%22319%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2296080%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2296280%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2296520%22%20data-d%3D%22480%22%3E%20site%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2297160%22%20data-d%3D%22280%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2297480%22%20data-d%3D%22479%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2298120%22%20data-d%3D%22319%22%3E%2012%20soccer%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2298840%22%20data-d%3D%22599%22%3E%20field%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%2299840%22%20data-d%3D%22479%22%3E%20where%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22100400%22%20data-d%3D%22599%22%3E%20work%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22101560%22%20data-d%3D%222200%22%3E%20230%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22103880%22%20data-d%3D%22920%22%3E%20employees%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A44%22%3E%3CSPAN%20data-m%3D%22104920%22%20data-d%3D%22399%22%3Emainly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22105400%22%20data-d%3D%22399%22%3E%20composed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22105840%22%20data-d%3D%22359%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22106280%22%20data-d%3D%22599%22%3E%20managers%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22106880%22%20data-d%3D%22200%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22107120%22%20data-d%3D%22959%22%3E%20technicians.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A49%22%3E%3CSPAN%20data-m%3D%22109080%22%20data-d%3D%22719%22%3EA%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22110800%22%20data-d%3D%22359%22%3Es%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22111160%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22111320%22%20data-d%3D%22320%22%3E%20like%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22111720%22%20data-d%3D%22920%22%3E%20statistics%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22113160%22%20data-d%3D%22359%22%3E%20when%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22113560%22%20data-d%3D%22439%22%3E%20working%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22114120%22%20data-d%3D%22280%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22114440%22%20data-d%3D%22359%22%3E%20JMP%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22114840%22%20data-d%3D%22159%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22115040%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22115200%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22115320%22%20data-d%3D%22200%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22115600%22%20data-d%3D%22600%22%3E%20one.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A01%3A58%22%3E%3CSPAN%20data-m%3D%22118080%22%20data-d%3D%22359%22%3EOur%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22118480%22%20data-d%3D%22519%22%3E%20population%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22119040%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22119280%22%20data-d%3D%22799%22%3E%20composed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22120240%22%20data-d%3D%22840%22%3E%20mainly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22121240%22%20data-d%3D%22320%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22121600%22%20data-d%3D%22280%22%3E%20men%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22121920%22%20data-d%3D%22359%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22122360%22%20data-d%3D%22320%22%3E%2080%20percent%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22122720%22%20data-d%3D%22359%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22123080%22%20data-d%3D%22359%22%3E%2020%20percent%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22123440%22%20data-d%3D%222040%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22125640%22%20data-d%3D%22679%22%3E%20women.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A08%22%3E%3CSPAN%20data-m%3D%22128320%22%20data-d%3D%22640%22%3EConcerning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22129199%22%20data-d%3D%22200%22%3EClecim%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22129440%22%20data-d%3D%22840%22%3E%20activities%3A%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A13%22%3E%3CSPAN%20data-m%3D%22133120%22%20data-d%3D%22400%22%3EOur%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22133560%22%20data-d%3D%22199%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22133800%22%20data-d%3D%22519%22%3E%20activities%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22134400%22%20data-d%3D%22239%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22134680%22%20data-d%3D%22439%22%3E%20studies%20and%20consulting%20activities%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A16%22%3E%3CSPAN%20data-m%3D%22136760%22%20data-d%3D%22240%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22137040%22%20data-d%3D%22200%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22137280%22%20data-d%3D%22359%22%3Eflat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22137640%22%20data-d%3D%22320%22%3E%20steel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22138000%22%20data-d%3D%22560%22%3E%20producer%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22138640%22%20data-d%3D%22600%22%3E%20customer.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A20%22%3E%3CSPAN%20data-m%3D%22140240%22%20data-d%3D%22359%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22140600%22%20data-d%3D%22439%22%3E%20supply%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22141120%22%20data-d%3D%22400%22%3E%20individual%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22141600%22%20data-d%3D%22800%22%3E%20machine%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22142520%22%20data-d%3D%22319%22%3Eor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22142880%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22143080%22%20data-d%3D%22399%22%3E%20supply%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22143560%22%20data-d%3D%22199%22%3Ea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22143800%22%20data-d%3D%22280%22%3E%20complete%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22144160%22%20data-d%3D%22479%22%3E%20production%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22144720%22%20data-d%3D%22479%22%3E%20line%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A25%22%3E%3CSPAN%20data-m%3D%22145320%22%20data-d%3D%22280%22%3Esuch%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22145640%22%20data-d%3D%22320%22%3E%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22146080%22%20data-d%3D%22359%22%3E%20pickling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22146480%22%20data-d%3D%22439%22%3Eline%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22147040%22%20data-d%3D%22480%22%3E%20annealing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22147560%22%20data-d%3D%22479%22%3E%20line%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22149480%22%20data-d%3D%22439%22%3E%20galvanizing%20line%2C%20painting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22150000%22%20data-d%3D%22479%22%3E%20line%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22150600%22%20data-d%3D%22200%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22150800%22%20data-d%3D%22159%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22150960%22%20data-d%3D%22679%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A32%22%3E%3CSPAN%20data-m%3D%22152640%22%20data-d%3D%22280%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22152960%22%20data-d%3D%22359%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22153400%22%20data-d%3D%22280%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22153720%22%20data-d%3D%22199%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22153920%22%20data-d%3D%22640%22%3E%20activity%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22154680%22%20data-d%3D%22719%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22155640%22%20data-d%3D%22720%22%3E%20services%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A37%22%3E%3CSPAN%20data-m%3D%22157400%22%20data-d%3D%22280%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22157720%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22157880%22%20data-d%3D%22560%22%3E%20furniture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22158520%22%20data-d%3D%22159%22%3E%20or%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22158720%22%20data-d%3D%22240%22%3E%20spare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22159000%22%20data-d%3D%22560%22%3E%20parts%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22161200%22%20data-d%3D%22680%22%3E%20for%20export%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22161960%22%20data-d%3D%22560%22%3E%20missions%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22162640%22%20data-d%3D%22880%22%3E%20maintenance%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A43%22%3E%3CSPAN%20data-m%3D%22163640%22%20data-d%3D%22240%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22163920%22%20data-d%3D%22120%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22164080%22%20data-d%3D%22479%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A44%22%3E%3CSPAN%20data-m%3D%22164960%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22165160%22%20data-d%3D%22159%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22165320%22%20data-d%3D%22120%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22165480%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22165680%22%20data-d%3D%22719%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22167320%22%20data-d%3D%22319%22%3Ea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22167680%22%20data-d%3D%22479%22%3E%20typical%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22168240%22%20data-d%3D%22639%22%3E%20layout%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22169000%22%20data-d%3D%22280%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22169280%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22169440%22%20data-d%3D%22599%22%3E%20galvanizing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22170040%22%20data-d%3D%22240%22%3E%20line.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A50%22%3E%3CSPAN%20data-m%3D%22170600%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22170800%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22170920%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22171080%22%20data-d%3D%22159%22%3E%20give%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22171280%22%20data-d%3D%22159%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22171480%22%20data-d%3D%22240%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22171800%22%20data-d%3D%22439%22%3E%20idea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22172360%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22172680%22%20data-d%3D%22400%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22173160%22%20data-d%3D%22599%22%3E%20processing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22173760%22%20data-d%3D%22480%22%3E%20line.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A54%22%3E%3CSPAN%20data-m%3D%22174640%22%20data-d%3D%22160%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22174800%22%20data-d%3D%22119%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22174960%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22175120%22%20data-d%3D%22519%22%3E%20dedicated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22175720%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22175920%22%20data-d%3D%2280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22176040%22%20data-d%3D%22480%22%3E%20automotive%20market%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A02%3A57%22%3E%3CSPAN%20data-m%3D%22177520%22%20data-d%3D%22560%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22178200%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22178480%22%20data-d%3D%22680%22%3E%20length%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22179320%22%20data-d%3D%22439%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22179840%22%20data-d%3D%22240%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22180120%22%20data-d%3D%22199%22%3Ean%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22180320%22%20data-d%3D%22640%22%3E%20equipment%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22181080%22%20data-d%3D%22239%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22181360%22%20data-d%3D%22439%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22181920%22%20data-d%3D%22240%22%3E%20half%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22182200%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22182320%22%20data-d%3D%22680%22%3E%20kilometer%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A03%22%3E%3CSPAN%20data-m%3D%22183120%22%20data-d%3D%22280%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22183440%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22183640%22%20data-d%3D%22240%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22183960%22%20data-d%3D%22679%22%3E%20huge%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22184840%22%20data-d%3D%22799%22%3E%20industrial%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22185680%22%20data-d%3D%22759%22%3E%20plant.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A07%22%3E%3CSPAN%20data-m%3D%22187040%22%20data-d%3D%22360%22%3EWhen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22187400%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22187600%22%20data-d%3D%22159%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22187800%22%20data-d%3D%22639%22%3E%20previously%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22188520%22%20data-d%3D%22439%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22189080%22%20data-d%3D%22319%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22189480%22%20data-d%3D%22520%22%3E%20machine%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A10%22%3E%3CSPAN%20data-m%3D%22190080%22%20data-d%3D%22199%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22190320%22%20data-d%3D%22159%22%3E%20had%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22190520%22%20data-d%3D%22159%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22190720%22%20data-d%3D%22520%22%3E%20mind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22191400%22%20data-d%3D%22479%22%3E%20rolling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22191960%22%20data-d%3D%22799%22%3E%20equipment%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22194480%22%20data-d%3D%22520%22%3E%20such%20as%20rolling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22195040%22%20data-d%3D%22480%22%3E%20mill%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22195640%22%20data-d%3D%22360%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22196040%22%20data-d%3D%22879%22%3E%20levellers%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A18%22%3E%3CSPAN%20data-m%3D%22198320%22%20data-d%3D%22640%22%3Eautomated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22199040%22%20data-d%3D%22400%22%3E%20strip%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22199440%22%20data-d%3D%22360%22%3E%20surface%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22199880%22%20data-d%3D%22480%22%3E%20inspection%20system%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22201280%22%20data-d%3D%22400%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22201720%22%20data-d%3D%22599%22%3E%20even%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22202520%22%20data-d%3D%22399%22%3E%20laser%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22203000%22%20data-d%3D%22360%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22203360%22%20data-d%3D%22599%22%3E%20machine.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A24%22%3E%3CSPAN%20data-m%3D%22204400%22%20data-d%3D%22120%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22204520%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22204680%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22204880%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22205080%22%20data-d%3D%22239%22%3E%20last%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22205400%22%20data-d%3D%22439%22%3E%20equipment%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22205920%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22206120%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22206280%22%20data-d%3D%22120%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22206440%22%20data-d%3D%22159%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22206640%22%20data-d%3D%22360%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22207080%22%20data-d%3D%22319%22%3E%20focus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22207480%22%20data-d%3D%22360%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22207920%22%20data-d%3D%22240%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22208200%22%20data-d%3D%22600%22%3E%20now.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A31%22%3E%3CSPAN%20data-m%3D%22211760%22%20data-d%3D%22120%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22211920%22%20data-d%3D%2280%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22212040%22%20data-d%3D%22159%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22212240%22%20data-d%3D%22159%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22212440%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22212600%22%20data-d%3D%22200%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22212840%22%20data-d%3D%22439%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22213400%22%20data-d%3D%22919%22%3E%20autogenous%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22214400%22%20data-d%3D%22319%22%3E%20laser%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22214800%22%20data-d%3D%22359%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22215240%22%20data-d%3D%22599%22%3E%20process.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A38%22%3E%3CSPAN%20data-m%3D%22218560%22%20data-d%3D%22599%22%3EAutogenous%20means%20without%20filling%20wire.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A40%22%3E%3CSPAN%20data-m%3D%22220360%22%20data-d%3D%22319%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22220720%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22221000%22%20data-d%3D%22240%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22221280%22%20data-d%3D%22479%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22221880%22%20data-d%3D%22680%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22223000%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22223360%22%20data-d%3D%22559%22%3E%20parameter%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22224000%22%20data-d%3D%22520%22%3E%20and%20factors%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22224600%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22224880%22%20data-d%3D%22599%22%3E%20govern%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22225680%22%20data-d%3D%22359%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22226080%22%20data-d%3D%22599%22%3E%20process.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A49%22%3E%3CSPAN%20data-m%3D%22229320%22%20data-d%3D%22360%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22229680%22%20data-d%3D%22199%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22229920%22%20data-d%3D%2280%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22230000%22%20data-d%3D%22159%22%3E%20all%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A50%22%3E%3CSPAN%20data-m%3D%22230200%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22230400%22%20data-d%3D%22159%22%3E%20would%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22230600%22%20data-d%3D%22200%22%3E%20like%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22230880%22%20data-d%3D%22520%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22231560%22%20data-d%3D%221039%22%3E%20introduce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22233520%22%20data-d%3D%22399%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22234000%22%20data-d%3D%22639%22%3E%20machine%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22235440%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22235800%22%20data-d%3D%22319%22%3E%20subject%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22236200%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22236400%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22236640%22%20data-d%3D%22640%22%3E%20study.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A03%3A57%22%3E%3CSPAN%20data-m%3D%22237760%22%20data-d%3D%22200%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22237960%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22238120%22%20data-d%3D%22240%22%3E%20left%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22238440%22%20data-d%3D%22199%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22238680%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22238880%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22239080%22%20data-d%3D%22319%22%3E%20slide%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22239640%22%20data-d%3D%22160%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22239840%22%20data-d%3D%22199%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22240120%22%20data-d%3D%22479%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22240760%22%20data-d%3D%22320%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22241120%22%20data-d%3D%22359%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22241480%22%20data-d%3D%22719%22%3E%20machine.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A02%22%3E%3CSPAN%20data-m%3D%22242320%22%20data-d%3D%22280%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22242600%22%20data-d%3D%22240%22%3E%20fact%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22242920%22%20data-d%3D%22200%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22243120%22%20data-d%3D%22199%22%3E%20only%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22243360%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22243600%22%20data-d%3D%22319%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22243960%22%20data-d%3D%22319%22%3E%20machine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22244360%22%20data-d%3D%22199%22%3E%20but%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22244600%22%20data-d%3D%22319%22%3E%20it's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22245000%22%20data-d%3D%22599%22%3E%20containment%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A05%22%3E%3CSPAN%20data-m%3D%22245680%22%20data-d%3D%22199%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22245880%22%20data-d%3D%22240%22%3E%20machine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22246160%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22246360%22%20data-d%3D%22239%22%3E%20inside%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22246640%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22246840%22%20data-d%3D%22680%22%3E%20containment%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A07%22%3E%3CSPAN%20data-m%3D%22247640%22%20data-d%3D%22280%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22247920%22%20data-d%3D%22320%22%3E%20safety%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22248280%22%20data-d%3D%22240%22%3E%20reasons%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22248800%22%20data-d%3D%22159%22%3E%20because%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22248960%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22249120%22%20data-d%3D%22319%22%3E%20using%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22249520%22%20data-d%3D%22599%22%3E%20laser.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A11%22%3E%3CSPAN%20data-m%3D%22251400%22%20data-d%3D%22359%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22251760%22%20data-d%3D%22640%22%3E%20dimension%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22252480%22%20data-d%3D%22640%22%3E%20here%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A13%22%3E%3CSPAN%20data-m%3D%22253640%22%20data-d%3D%22280%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22253960%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22254160%22%20data-d%3D%22640%22%3E%20door%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22255120%22%20data-d%3D%22400%22%3E%20gives%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22255600%22%20data-d%3D%22520%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22256279%22%20data-d%3D%22320%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22256680%22%20data-d%3D%22599%22%3E%20idea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22258000%22%20data-d%3D%22839%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22259040%22%20data-d%3D%22399%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22259480%22%20data-d%3D%22359%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22259880%22%20data-d%3D%22480%22%3E%20machine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22260440%22%20data-d%3D%22439%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22261000%22%20data-d%3D%22399%22%3E%20scale%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22261440%22%20data-d%3D%22519%22%3E%20one.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A23%22%3E%3CSPAN%20data-m%3D%22263080%22%20data-d%3D%22319%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22263400%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22263560%22%20data-d%3D%22199%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22263760%22%20data-d%3D%22280%22%3E%20huge%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22264080%22%20data-d%3D%22800%22%3Eindustry%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22265000%22%20data-d%3D%22439%22%3Eour%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22265480%22%20data-d%3D%22599%22%3E%20machine.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A26%22%3E%3CSPAN%20data-m%3D%22266240%22%20data-d%3D%22279%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22266520%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22266720%22%20data-d%3D%22239%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22267040%22%20data-d%3D%22399%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22267520%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22267760%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22267960%22%20data-d%3D%22600%22%3E%20presentation%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22268920%22%20data-d%3D%22199%22%3E%20you%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22269160%22%20data-d%3D%22599%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22270200%22%20data-d%3D%22360%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22270600%22%20data-d%3D%22519%22%3E%20partial%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22271240%22%20data-d%3D%22560%22%3E%20inside%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A31%22%3E%3CSPAN%20data-m%3D%22271960%22%20data-d%3D%22240%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22272240%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22272400%22%20data-d%3D%22439%22%3E%20welding%20machine%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22273560%22%20data-d%3D%22279%22%3E%20where%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22273840%22%20data-d%3D%22200%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22274080%22%20data-d%3D%22199%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22274320%22%20data-d%3D%22560%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22275640%22%20data-d%3D%22360%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22276000%22%20data-d%3D%22319%22%3E%20clamps%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A36%22%3E%3CSPAN%20data-m%3D%22276360%22%20data-d%3D%22159%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22276560%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22277000%22%20data-d%3D%22100%22%3E%5Binaudible%2000%3A04%3A37%5D%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22277000%22%20data-d%3D%22120%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22277160%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22277320%22%20data-d%3D%22400%22%3E%20machine.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A38%22%3E%3CSPAN%20data-m%3D%22278080%22%20data-d%3D%22640%22%3EInside%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22278920%22%20data-d%3D%22319%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22279240%22%20data-d%3D%22480%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22279880%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22280120%22%20data-d%3D%22199%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22280320%22%20data-d%3D%22720%22%3E%20portion%20of%20the%20strip%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A42%22%3E%3CSPAN%20data-m%3D%22282800%22%20data-d%3D%22279%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22283080%22%20data-d%3D%22280%22%3E%20head%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22283400%22%20data-d%3D%22200%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22283640%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22283760%22%20data-d%3D%22280%22%3E%20tail%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22284080%22%20data-d%3D%22160%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22284240%22%20data-d%3D%2279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22284360%22%20data-d%3D%22599%22%3E%20strip%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A45%22%3E%3CSPAN%20data-m%3D%22285080%22%20data-d%3D%22280%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22285400%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22285640%22%20data-d%3D%22600%22%3E%20be%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22286640%22%20data-d%3D%22400%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22287080%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22287240%22%20data-d%3D%22560%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22288000%22%20data-d%3D%22560%22%3Ecut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22288640%22%20data-d%3D%22240%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22290000%22%20data-d%3D%22519%22%3E%20with%20laser%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22290640%22%20data-d%3D%22520%22%3E%20finally%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22291280%22%20data-d%3D%22320%22%3E%20brought%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22291640%22%20data-d%3D%22600%22%3E%20together%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A53%22%3E%3CSPAN%20data-m%3D%22293600%22%20data-d%3D%22279%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22293880%22%20data-d%3D%22199%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22294120%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22294320%22%20data-d%3D%22120%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22294480%22%20data-d%3D%22719%22%3E%20welded.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A04%3A59%22%3E%3CSPAN%20data-m%3D%22299880%22%20data-d%3D%22280%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22300200%22%20data-d%3D%22120%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22300320%22%20data-d%3D%22240%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22300640%22%20data-d%3D%22160%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22300840%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22301000%22%20data-d%3D%22199%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22301240%22%20data-d%3D%22599%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22302200%22%20data-d%3D%22400%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22302680%22%20data-d%3D%22439%22%3E%20target%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22303200%22%20data-d%3D%22280%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22303520%22%20data-d%3D%22759%22%3E%20constraint.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A04%22%3E%3CSPAN%20data-m%3D%22304960%22%20data-d%3D%22160%22%3EOf%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22305160%22%20data-d%3D%22560%22%3E%20course%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A07%22%3E%3CSPAN%20data-m%3D%22307320%22%20data-d%3D%22759%22%3Eour%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22308520%22%20data-d%3D%22640%22%3E%20objective%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22309200%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22309400%22%20data-d%3D%22439%22%3E%20target%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22309880%22%20data-d%3D%22720%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22310800%22%20data-d%3D%22360%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22311200%22%20data-d%3D%22199%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22311440%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22311560%22%20data-d%3D%22240%22%3E%20good%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22311840%22%20data-d%3D%22439%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A12%22%3E%3CSPAN%20data-m%3D%22312640%22%20data-d%3D%22160%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22312840%22%20data-d%3D%22160%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22313000%22%20data-d%3D%22319%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22313400%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22313600%22%20data-d%3D%22239%22%3E%20need%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22313880%22%20data-d%3D%22519%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22314520%22%20data-d%3D%22600%22%3E%20achieve%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22315200%22%20data-d%3D%22240%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22315520%22%20data-d%3D%22840%22%3E%20objectives.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A16%22%3E%3CSPAN%20data-m%3D%22316720%22%20data-d%3D%22359%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22317080%22%20data-d%3D%22240%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22317360%22%20data-d%3D%22319%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22317760%22%20data-d%3D%22639%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22319000%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22319360%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22319560%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22319720%22%20data-d%3D%22199%22%3E%20weld%20seam%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22320320%22%20data-d%3D%22199%22%3Ewhich%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22320560%22%20data-d%3D%22319%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22321000%22%20data-d%3D%22439%22%3E%20defect-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22321480%22%20data-d%3D%22479%22%3Efree.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A22%22%3E%3CSPAN%20data-m%3D%22322440%22%20data-d%3D%22240%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22322720%22%20data-d%3D%22599%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22323760%22%20data-d%3D%22360%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22324160%22%20data-d%3D%22679%22%3E%20slide%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22325040%22%20data-d%3D%22319%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22325400%22%20data-d%3D%22160%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22325600%22%20data-d%3D%22120%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22325760%22%20data-d%3D%22120%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22325880%22%20data-d%3D%22399%22%3E%20example%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22326360%22%20data-d%3D%22639%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22327160%22%20data-d%3D%22319%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22327520%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22327720%22%20data-d%3D%22439%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A28%22%3E%3CSPAN%20data-m%3D%22328560%22%20data-d%3D%22120%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22328680%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22328840%22%20data-d%3D%22280%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22329200%22%20data-d%3D%22280%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22329520%22%20data-d%3D%22560%22%3E%20one.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A30%22%3E%3CSPAN%20data-m%3D%22330680%22%20data-d%3D%22199%22%3EYou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22330880%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22331080%22%20data-d%3D%22160%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22331240%22%20data-d%3D%22120%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22331400%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22331600%22%20data-d%3D%22279%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22331960%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22332720%22%20data-d%3D%22319%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22333080%22%20data-d%3D%22199%22%3E%20whole%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22333320%22%20data-d%3D%22199%22%3E%20thing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22333560%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22333800%22%20data-d%3D%22319%22%3E%20quite%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22334200%22%20data-d%3D%22639%22%3E%20nice%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A35%22%3E%3CSPAN%20data-m%3D%22335920%22%20data-d%3D%22479%22%3Ewithout%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22336480%22%20data-d%3D%22240%22%3E%20any%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22336760%22%20data-d%3D%22800%22%3E%20defect.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A38%22%3E%3CSPAN%20data-m%3D%22338200%22%20data-d%3D%22160%22%3EWhen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22338400%22%20data-d%3D%22400%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22338920%22%20data-d%3D%22240%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22339200%22%20data-d%3D%22360%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22339640%22%20data-d%3D%221000%22%3E%20defect%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22342080%22%20data-d%3D%22600%22%3Ehere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22343320%22%20data-d%3D%22280%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22343640%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22343800%22%20data-d%3D%22319%22%3E%20list%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22344200%22%20data-d%3D%22600%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22344960%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22345280%22%20data-d%3D%22480%22%3E%20typical%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22345840%22%20data-d%3D%22760%22%3E%20defect%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A47%22%3E%3CSPAN%20data-m%3D%22347280%22%20data-d%3D%22320%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22347640%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22348440%22%20data-d%3D%22199%22%3Eencounter%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22348680%22%20data-d%3D%22319%22%3E%20when%20trying%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22349080%22%20data-d%3D%22600%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22349840%22%20data-d%3D%22360%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22350240%22%20data-d%3D%22319%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22350640%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22350840%22%20data-d%3D%22280%22%3E%20laser.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A51%22%3E%3CSPAN%20data-m%3D%22351400%22%20data-d%3D%22400%22%3ETypically%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22351880%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22352120%22%20data-d%3D%22159%22%3E%20could%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22352320%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22352480%22%20data-d%3D%22479%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22353120%22%20data-d%3D%22839%22%3E%20patterns.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A54%22%3E%3CSPAN%20data-m%3D%22354360%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22354520%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22354680%22%20data-d%3D%22319%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22355040%22%20data-d%3D%22239%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22355360%22%20data-d%3D%22279%22%3E%20two.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A55%22%3E%3CSPAN%20data-m%3D%22355680%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22355880%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22356040%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22356160%22%20data-d%3D%22159%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22356360%22%20data-d%3D%22599%22%3E%20view.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A05%3A58%22%3E%3CSPAN%20data-m%3D%22358320%22%20data-d%3D%22319%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22358680%22%20data-d%3D%22159%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22358840%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22359040%22%20data-d%3D%22279%22%3E%20case%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22359400%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22359640%22%20data-d%3D%22400%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22360160%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22360400%22%20data-d%3D%22360%22%3E%20molten%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22360800%22%20data-d%3D%22519%22%3E%20material%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A02%22%3E%3CSPAN%20data-m%3D%22362120%22%20data-d%3D%221040%22%3Ewhich%20is%20ejected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22363520%22%20data-d%3D%22360%22%3E%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22363880%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22364080%22%20data-d%3D%22240%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22364400%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22364600%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22364800%22%20data-d%3D%22599%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A05%22%3E%3CSPAN%20data-m%3D%22365520%22%20data-d%3D%22280%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22365800%22%20data-d%3D%22159%22%3E%20could%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22366000%22%20data-d%3D%22199%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22366280%22%20data-d%3D%22640%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22369400%22%20data-d%3D%22400%22%3Echain%20of%20pearls.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A10%22%3E%3CSPAN%20data-m%3D%22370160%22%20data-d%3D%22119%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22370320%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22370480%22%20data-d%3D%22319%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22370880%22%20data-d%3D%22240%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22371160%22%20data-d%3D%22560%22%3E%20three.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A13%22%3E%3CSPAN%20data-m%3D%22373000%22%20data-d%3D%22360%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22373400%22%20data-d%3D%22200%22%3E%20time%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22373640%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22373840%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22373960%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22374160%22%20data-d%3D%22279%22%3E%20bottom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22374520%22%20data-d%3D%22280%22%3E%20view%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A14%22%3E%3CSPAN%20data-m%3D%22374880%22%20data-d%3D%22240%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22375200%22%20data-d%3D%22120%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22375360%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22375520%22%20data-d%3D%22240%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22375840%22%20data-d%3D%22840%22%3E%20droplets%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22377480%22%20data-d%3D%22359%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22377840%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22378040%22%20data-d%3D%22560%22%3E%20bottom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22378800%22%20data-d%3D%22719%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22380320%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22380680%22%20data-d%3D%22199%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22380960%22%20data-d%3D%22640%22%3E%20seam.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A23%22%3E%3CSPAN%20data-m%3D%22383560%22%20data-d%3D%22319%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22383920%22%20data-d%3D%22159%22%3E%20could%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22384080%22%20data-d%3D%22199%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22384320%22%20data-d%3D%22600%22%3E%20also%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A26%22%3E%3CSPAN%20data-m%3D%22386560%22%20data-d%3D%22439%22%3Eother%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22387040%22%20data-d%3D%22560%22%3E%20defects%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22387600%22%20data-d%3D%22199%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22387840%22%20data-d%3D%22480%22%3E%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22388720%22%20data-d%3D%22599%22%3Ehumpings%2C%20underfillings%2C%20or%20even%20holes.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A32%22%3E%3CSPAN%20data-m%3D%22392760%22%20data-d%3D%22319%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22393080%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22393280%22%20data-d%3D%22640%22%3Epicture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22394080%22%20data-d%3D%22360%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22394520%22%20data-d%3D%22319%22%3E%20four%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22394920%22%20data-d%3D%22319%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A35%22%3E%3CSPAN%20data-m%3D%22395320%22%20data-d%3D%22400%22%3EAnd%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22395840%22%20data-d%3D%22720%22%3E%20here%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22396760%22%20data-d%3D%22600%22%3Etypically%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22397440%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22397720%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22397880%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22398080%22%20data-d%3D%22480%22%3E%20case%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A39%22%3E%3CSPAN%20data-m%3D%22399560%22%20data-d%3D%22199%22%3E%20when%20we%20have%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22399800%22%20data-d%3D%22279%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22400120%22%20data-d%3D%22319%22%3E%20low%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22400480%22%20data-d%3D%22319%22%3E%20travel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22400840%22%20data-d%3D%22320%22%3E%20speed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22401160%22%20data-d%3D%22159%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22401320%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22401480%22%20data-d%3D%22319%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22401880%22%20data-d%3D%22240%22%3E%20high%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22402200%22%20data-d%3D%22280%22%3E%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22402520%22%20data-d%3D%22800%22%3E%20density.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A44%22%3E%3CSPAN%20data-m%3D%22404400%22%20data-d%3D%22360%22%3EInstead%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22404840%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22405040%22%20data-d%3D%22560%22%3E%20welding%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22405680%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22405880%22%20data-d%3D%22280%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22406240%22%20data-d%3D%22680%22%3E%20drilling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22407880%22%20data-d%3D%22319%22%3Eat%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22408200%22%20data-d%3D%22439%22%3E%20material%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A48%22%3E%3CSPAN%20data-m%3D%22408720%22%20data-d%3D%22679%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22409760%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22410160%22%20data-d%3D%22560%22%3E%20create%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22410880%22%20data-d%3D%22360%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22411320%22%20data-d%3D%22639%22%3E%20holes.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A52%22%3E%3CSPAN%20data-m%3D%22412400%22%20data-d%3D%22160%22%3EOf%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22412600%22%20data-d%3D%22439%22%3E%20course%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22413160%22%20data-d%3D%22279%22%3E%20this%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22413480%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22413680%22%20data-d%3D%22360%22%3Eabsolutely%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22414120%22%20data-d%3D%22240%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22414400%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22414560%22%20data-d%3D%22759%22%3E%20avoid.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A06%3A55%22%3E%3CSPAN%20data-m%3D%22415720%22%20data-d%3D%22839%22%3EOtherwise%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22416640%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22416880%22%20data-d%3D%22120%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22417040%22%20data-d%3D%22599%22%3E%20decrease%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22417760%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22418040%22%20data-d%3D%22879%22%3E%20resistance%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A00%22%3E%3CSPAN%20data-m%3D%22420760%22%20data-d%3D%22319%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22421120%22%20data-d%3D%22159%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22421320%22%20data-d%3D%22519%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A02%22%3E%3CSPAN%20data-m%3D%22422160%22%20data-d%3D%22119%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22422320%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22422440%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22422600%22%20data-d%3D%22560%22%3E%20transition%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22423240%22%20data-d%3D%22199%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22423480%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22423640%22%20data-d%3D%22319%22%3E%20second%20objective%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A05%22%3E%3CSPAN%20data-m%3D%22425040%22%20data-d%3D%22439%22%3Ebecause%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22425560%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22425800%22%20data-d%3D%22279%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22426160%22%20data-d%3D%22239%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22426440%22%20data-d%3D%22439%22%3E%20only%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22427000%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22427640%22%20data-d%3D%22319%22%3Eweld%20seam%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22428040%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22428280%22%20data-d%3D%22200%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22428520%22%20data-d%3D%22200%22%3E%20p%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22428720%22%20data-d%3D%22639%22%3Eerfect%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A09%22%3E%3CSPAN%20data-m%3D%22429480%22%20data-d%3D%22359%22%3Ebut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22429880%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22430120%22%20data-d%3D%22159%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22430320%22%20data-d%3D%22199%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22430560%22%20data-d%3D%22240%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22430880%22%20data-d%3D%22120%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22431040%22%20data-d%3D%22319%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22431480%22%20data-d%3D%221000%22%3E%20resistant.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A13%22%3E%3CSPAN%20data-m%3D%22433200%22%20data-d%3D%22199%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22433400%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22433600%22%20data-d%3D%22879%22%3E%20evaluated%20via%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22435560%22%20data-d%3D%22360%22%3Ean%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22435960%22%20data-d%3D%22520%22%3E%20Erichsen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22436520%22%20data-d%3D%22319%22%3E%20type%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22436920%22%20data-d%3D%22359%22%3Ecupping%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22437280%22%20data-d%3D%22320%22%3E%20test%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A18%22%3E%3CSPAN%20data-m%3D%22438080%22%20data-d%3D%22120%22%3Eso%20this%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22438240%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22438440%22%20data-d%3D%22319%22%3E%20describe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22438840%22%20data-d%3D%22200%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22439040%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22439240%22%20data-d%3D%22240%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22439560%22%20data-d%3D%22199%22%3E%20bit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22439800%22%20data-d%3D%22680%22%3E%20later.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A21%22%3E%3CSPAN%20data-m%3D%22441120%22%20data-d%3D%22279%22%3EOur%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22441480%22%20data-d%3D%22479%22%3E%20target%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22442040%22%20data-d%3D%22239%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22442280%22%20data-d%3D%22120%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22442440%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22442600%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22442800%22%20data-d%3D%22599%22%3E%20trend%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22443520%22%20data-d%3D%22400%22%3E%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22444000%22%20data-d%3D%22240%22%3E%20close%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22444320%22%20data-d%3D%22199%22%3Eas%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22444560%22%20data-d%3D%22360%22%3E%20possible%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A25%22%3E%3CSPAN%20data-m%3D%22445040%22%20data-d%3D%22239%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22445320%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22445560%22%20data-d%3D%22639%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22446400%22%20data-d%3D%22320%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22446720%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22446920%22%20data-d%3D%22159%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22447120%22%20data-d%3D%22719%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A32%22%3E%3CSPAN%20data-m%3D%22452400%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22452760%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22453000%22%20data-d%3D%22360%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22453440%22%20data-d%3D%22240%22%3E%20talk%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22453720%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22453960%22%20data-d%3D%22160%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22454160%22%20data-d%3D%22199%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22454440%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22454640%22%20data-d%3D%22280%22%3E%20last%20welding%20parameters%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A36%22%3E%3CSPAN%20data-m%3D%22456680%22%20data-d%3D%22279%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22457000%22%20data-d%3D%22519%22%3E%20factor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22457600%22%20data-d%3D%22759%22%3E%20governing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22458480%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22458800%22%20data-d%3D%22560%22%3E%20process.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A39%22%3E%3CSPAN%20data-m%3D%22459960%22%20data-d%3D%22200%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22460200%22%20data-d%3D%22560%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22461240%22%20data-d%3D%22439%22%3E%20left%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22461720%22%20data-d%3D%22279%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22462040%22%20data-d%3D%22519%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22462680%22%20data-d%3D%22360%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22463120%22%20data-d%3D%22639%22%3E%20slide%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A43%22%3E%3CSPAN%20data-m%3D%22463880%22%20data-d%3D%22280%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22464200%22%20data-d%3D%22199%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22464400%22%20data-d%3D%22200%22%3Eyou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22464640%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22464840%22%20data-d%3D%22439%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22465400%22%20data-d%3D%22680%22%3E%20schematic%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22466160%22%20data-d%3D%22599%22%3E%20view%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22467480%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22467760%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22468000%22%20data-d%3D%22639%22%3E%20process.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A49%22%3E%3CSPAN%20data-m%3D%22469200%22%20data-d%3D%22240%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22469480%22%20data-d%3D%22439%22%3E%20gray%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22470000%22%20data-d%3D%22199%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22470240%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22470360%22%20data-d%3D%22399%22%3E%20bottom%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A50%22%3E%3CSPAN%20data-m%3D%22470880%22%20data-d%3D%22240%22%3Eyou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22471120%22%20data-d%3D%22120%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22471280%22%20data-d%3D%22120%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22471440%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22471600%22%20data-d%3D%22159%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22471760%22%20data-d%3D%22319%22%3E%20pieces%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22472080%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22472280%22%20data-d%3D%22440%22%3E%20material%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22474040%22%20data-d%3D%22239%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22474320%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22474480%22%20data-d%3D%22240%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22474760%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22474960%22%20data-d%3D%22400%22%3E%20weld%20together%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A07%3A57%22%3E%3CSPAN%20data-m%3D%22477080%22%20data-d%3D%22360%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22477480%22%20data-d%3D%22199%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22477720%22%20data-d%3D%22519%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22478400%22%20data-d%3D%22280%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22478680%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22478920%22%20data-d%3D%22359%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22479360%22%20data-d%3D%22639%22%3E%20nature%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22480560%22%20data-d%3D%22360%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22480960%22%20data-d%3D%22439%22%3E%20thickness%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22481480%22%20data-d%3D%22159%22%3E%20on%20it.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A04%22%3E%3CSPAN%20data-m%3D%22484920%22%20data-d%3D%22319%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22485280%22%20data-d%3D%22440%22%3E%20yellow%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22485800%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22486040%22%20data-d%3D%22439%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22486600%22%20data-d%3D%22719%22%3E%20laser%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22487480%22%20data-d%3D%22519%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22488080%22%20data-d%3D%22520%22%3E%20head%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A08%22%3E%3CSPAN%20data-m%3D%22488760%22%20data-d%3D%22280%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22489040%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22489240%22%20data-d%3D%22519%22%3E%20connected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22489840%22%20data-d%3D%22240%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22490120%22%20data-d%3D%22680%22%3E%20blue%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22491000%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22491320%22%20data-d%3D%22240%22%3E%20its%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22491600%22%20data-d%3D%22319%22%3E%20laser%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22492000%22%20data-d%3D%22759%22%3E%20source.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A15%22%3E%3CSPAN%20data-m%3D%22495760%22%20data-d%3D%22160%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22495960%22%20data-d%3D%22240%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22496240%22%20data-d%3D%22240%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22496520%22%20data-d%3D%22840%22%3E%20imagine%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A19%22%3E%3CSPAN%20data-m%3D%22499360%22%20data-d%3D%22319%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22499720%22%20data-d%3D%22159%22%3E%20kind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22499880%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22500160%22%20data-d%3D%22319%22%3E%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22500560%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22500840%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22501080%22%20data-d%3D%22600%22%3E%20use%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A22%22%3E%3CSPAN%20data-m%3D%22502520%22%20data-d%3D%22360%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22502880%22%20data-d%3D%22160%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22503080%22%20data-d%3D%22160%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22503240%22%20data-d%3D%22599%22%3E%20application%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22504200%22%20data-d%3D%22680%22%3E%20imagine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22504960%22%20data-d%3D%22640%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22505800%22%20data-d%3D%22319%22%3E%20when%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22506160%22%20data-d%3D%22199%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22506400%22%20data-d%3D%22320%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22506800%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22507000%22%20data-d%3D%22240%22%3E%20laser%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22507320%22%20data-d%3D%22439%22%3E%20pointer%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A27%22%3E%3CSPAN%20data-m%3D%22507840%22%20data-d%3D%22439%22%3Etypically%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22508360%22%20data-d%3D%22199%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22508600%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22508720%22%20data-d%3D%22839%22%3E%20presentation%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A29%22%3E%3CSPAN%20data-m%3D%22509720%22%20data-d%3D%22399%22%3Esuch%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22510160%22%20data-d%3D%22560%22%3E%20kind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22510880%22%20data-d%3D%22280%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22511200%22%20data-d%3D%22680%22%3Edevice%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22512039%22%20data-d%3D%22240%22%3E%20has%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22512280%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22512480%22%20data-d%3D%22360%22%3E%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22512919%22%20data-d%3D%22600%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22514120%22%20data-d%3D%22480%22%3E%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22514640%22%20data-d%3D%22360%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22515080%22%20data-d%3D%22959%22%3E%20milliwatt.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A36%22%3E%3CSPAN%20data-m%3D%22516480%22%20data-d%3D%22319%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22516880%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22517120%22%20data-d%3D%22279%22%3E%20last%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22517480%22%20data-d%3D%22319%22%3E%20source%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22517840%22%20data-d%3D%22240%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22518120%22%20data-d%3D%22519%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22518760%22%20data-d%3D%22279%22%3E%20has%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22519080%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22519280%22%20data-d%3D%22560%22%3E%20power%20of%2012%20million%20times.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A44%22%3E%3CSPAN%20data-m%3D%22524280%22%20data-d%3D%22440%22%3EIt%20is%2012%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22524720%22%20data-d%3D%22319%22%3E%20million%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22525160%22%20data-d%3D%22280%22%3E%20times%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22525520%22%20data-d%3D%22200%22%3E%20more%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22525720%22%20data-d%3D%22759%22%3E%20powerful%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22526640%22%20data-d%3D%22360%22%3E%20that's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22527040%22%20data-d%3D%22200%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22527280%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22527480%22%20data-d%3D%22559%22%3E%20small%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22528240%22%20data-d%3D%22840%22%3E%20device.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A51%22%3E%3CSPAN%20data-m%3D%22531080%22%20data-d%3D%22319%22%3EJust%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22531400%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22531600%22%20data-d%3D%22240%22%3E%20explain%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22531880%22%20data-d%3D%22440%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22532400%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22532720%22%20data-d%3D%22199%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22532920%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22533160%22%20data-d%3D%22480%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22533760%22%20data-d%3D%22759%22%3E%20huge%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22534760%22%20data-d%3D%22600%22%3Epower.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A55%22%3E%3CSPAN%20data-m%3D%22535480%22%20data-d%3D%22240%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22535760%22%20data-d%3D%22279%22%3E%20need%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22536120%22%20data-d%3D%22279%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22536440%22%20data-d%3D%22239%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22536760%22%20data-d%3D%22240%22%3E%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22537040%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22537240%22%20data-d%3D%22480%22%3E%20cut%20our%20material%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A08%3A59%22%3E%3CSPAN%20data-m%3D%22539040%22%20data-d%3D%22280%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22539360%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22539560%22%20data-d%3D%22360%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22539960%22%20data-d%3D%22559%22%3Ealso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22540640%22%20data-d%3D%22320%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22540960%22%20data-d%3D%22639%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A02%22%3E%3CSPAN%20data-m%3D%22542840%22%20data-d%3D%22279%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22543160%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22543280%22%20data-d%3D%22240%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22543600%22%20data-d%3D%22199%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22543840%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22544000%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22544200%22%20data-d%3D%22559%22%3E%20presentation%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A05%22%3E%3CSPAN%20data-m%3D%22545040%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22545280%22%20data-d%3D%22600%22%3Ecould%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22546320%22%20data-d%3D%22559%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22547000%22%20data-d%3D%22399%22%3E%20process%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22547480%22%20data-d%3D%22639%22%3E%20parameter%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22549040%22%20data-d%3D%22280%22%3E%20the%20typical%20process%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22549400%22%20data-d%3D%22920%22%3E%20parameter%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A14%22%3E%3CSPAN%20data-m%3D%22554320%22%20data-d%3D%22359%22%3Ewhich%20can%20be%2C%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22554720%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22554880%22%20data-d%3D%22240%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22555200%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22555760%22%20data-d%3D%22600%22%3Elaser%20power%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A16%22%3E%3CSPAN%20data-m%3D%22556800%22%20data-d%3D%22320%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22557160%22%20data-d%3D%22240%22%3E%20travel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22557480%22%20data-d%3D%22360%22%3E%20speed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22557880%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22558040%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22558240%22%20data-d%3D%22279%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22558560%22%20data-d%3D%22720%22%3E%20carriage%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A19%22%3E%3CSPAN%20data-m%3D%22559800%22%20data-d%3D%22320%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22560160%22%20data-d%3D%22519%22%3E%20focusing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22560720%22%20data-d%3D%22639%22%3E%20distance%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22561480%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22561800%22%20data-d%3D%22280%22%3E%20gap%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22562160%22%20data-d%3D%22240%22%3E%20between%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22562480%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22562720%22%20data-d%3D%22639%22%3E%20plates%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A23%22%3E%3CSPAN%20data-m%3D%22563480%22%20data-d%3D%22279%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22563800%22%20data-d%3D%22320%22%3E%20thermal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22564160%22%20data-d%3D%22399%22%3E%20treatment%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22564960%22%20data-d%3D%22159%22%3E%20that%20we%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22565160%22%20data-d%3D%22560%22%3E%20apply%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22565880%22%20data-d%3D%22879%22%3E%20afterwards%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22566920%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22567160%22%20data-d%3D%22160%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22567360%22%20data-d%3D%22559%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A29%22%3E%3CSPAN%20data-m%3D%22569160%22%20data-d%3D%22399%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22569600%22%20data-d%3D%22159%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22569760%22%20data-d%3D%22560%22%3E%20fact%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A31%22%3E%3CSPAN%20data-m%3D%22571120%22%20data-d%3D%22360%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22571480%22%20data-d%3D%22559%22%3E%20simplicity%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22572120%22%20data-d%3D%22639%22%3E%20reason%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22572960%22%20data-d%3D%22279%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22573240%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22573400%22%20data-d%3D%22159%22%3E%20rest%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22573600%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22573760%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22574040%22%20data-d%3D%22560%22%3E%20presentation%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A35%22%3E%3CSPAN%20data-m%3D%22575080%22%20data-d%3D%22319%22%3Ewe%20will%20focus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22575520%22%20data-d%3D%22600%22%3E%20only%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22576280%22%20data-d%3D%22320%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22576640%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22576840%22%20data-d%3D%22199%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22577120%22%20data-d%3D%22279%22%3E%20main%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22577440%22%20data-d%3D%22399%22%3E%20one%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A38%22%3E%3CSPAN%20data-m%3D%22578600%22%20data-d%3D%22159%22%3Ewhich%20is%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22579160%22%20data-d%3D%22600%22%3Elaser%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22580440%22%20data-d%3D%22279%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22580760%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22580920%22%20data-d%3D%22240%22%3E%20travel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22581240%22%20data-d%3D%22679%22%3E%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A42%22%3E%3CSPAN%20data-m%3D%22582680%22%20data-d%3D%22240%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22582960%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22583160%22%20data-d%3D%22320%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22583560%22%20data-d%3D%22440%22%3E%20consider%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A44%22%3E%3CSPAN%20data-m%3D%22584120%22%20data-d%3D%22240%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22584400%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22584560%22%20data-d%3D%22600%22%3E%20materials%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22585200%22%20data-d%3D%22319%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22585600%22%20data-d%3D%22679%22%3E%20identical%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22586400%22%20data-d%3D%22279%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22586720%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22586880%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22587040%22%20data-d%3D%22160%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22587240%22%20data-d%3D%22799%22%3E%20thickness.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A48%22%3E%3CSPAN%20data-m%3D%22588960%22%20data-d%3D%2279%22%3EYou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22589080%22%20data-d%3D%2279%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22589200%22%20data-d%3D%22159%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22589360%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22590400%22%20data-d%3D%22399%22%3E%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22590840%22%20data-d%3D%22199%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22591040%22%20data-d%3D%22160%22%3E%20these%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22591240%22%20data-d%3D%22159%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22591400%22%20data-d%3D%22440%22%3E%20parameters%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22591920%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22592120%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22592280%22%20data-d%3D%22279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22592640%22%20data-d%3D%22240%22%3E%20enough%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22592960%22%20data-d%3D%22120%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22593120%22%20data-d%3D%22519%22%3E%20do.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A09%3A56%22%3E%3CSPAN%20data-m%3D%22596240%22%20data-d%3D%22679%22%3EOkay%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22597040%22%20data-d%3D%22680%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22598520%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22598880%22%20data-d%3D%22279%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22599160%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22599400%22%20data-d%3D%22600%22%3E%20set.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A01%22%3E%3CSPAN%20data-m%3D%22601360%22%20data-d%3D%22439%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22601840%22%20data-d%3D%22559%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22602520%22%20data-d%3D%22320%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22602880%22%20data-d%3D%22639%22%3E%20targets.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A03%22%3E%3CSPAN%20data-m%3D%22603600%22%20data-d%3D%22279%22%3EOne%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22603960%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22604200%22%20data-d%3D%22240%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22604520%22%20data-d%3D%22240%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22604800%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22605000%22%20data-d%3D%22200%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22605240%22%20data-d%3D%22639%22%3E%20seam%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22606040%22%20data-d%3D%22280%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22606360%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22606560%22%20data-d%3D%22720%22%3E%20defect%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A09%22%3E%3CSPAN%20data-m%3D%22609520%22%20data-d%3D%22360%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22609920%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22610040%22%20data-d%3D%22200%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22610280%22%20data-d%3D%22240%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22610560%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22610800%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22611000%22%20data-d%3D%22279%22%3E%20its%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22611400%22%20data-d%3D%22600%22%3E%20resistance.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A13%22%3E%3CSPAN%20data-m%3D%22613360%22%20data-d%3D%22279%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22613640%22%20data-d%3D%22279%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22613960%22%20data-d%3D%22279%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22614280%22%20data-d%3D%22200%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22614520%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22614720%22%20data-d%3D%22279%22%3E%20focus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22616160%22%20data-d%3D%22360%22%3E%20on%20our%20case%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22616560%22%20data-d%3D%22720%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22617400%22%20data-d%3D%22639%22%3Etowards%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22618200%22%20data-d%3D%22240%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22618480%22%20data-d%3D%22120%22%3E%20good%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22618640%22%20data-d%3D%22639%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A22%22%3E%3CSPAN%20data-m%3D%22622920%22%20data-d%3D%22240%22%3EOur%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22623200%22%20data-d%3D%22240%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22623520%22%20data-d%3D%22440%22%3E%20target%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22624040%22%20data-d%3D%22680%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22625320%22%20data-d%3D%22319%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22625680%22%20data-d%3D%22360%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22626160%22%20data-d%3D%22240%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22626400%22%20data-d%3D%22519%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22627040%22%20data-d%3D%22240%22%3E%2C%20which%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22627280%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22627440%22%20data-d%3D%22319%22%3E%20defect-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22627840%22%20data-d%3D%22519%22%3Efree.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A29%22%3E%3CSPAN%20data-m%3D%22629160%22%20data-d%3D%22200%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22629360%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22629520%22%20data-d%3D%22200%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22630640%22%20data-d%3D%22519%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22631280%22%20data-d%3D%22639%22%3E%20search%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22632080%22%20data-d%3D%22599%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22632800%22%20data-d%3D%22240%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22633040%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22633240%22%20data-d%3D%22360%22%3E%20called%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22633640%22%20data-d%3D%22680%22%3E%20weldability%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22634400%22%20data-d%3D%22519%22%3E%20lobe.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A35%22%3E%3CSPAN%20data-m%3D%22635280%22%20data-d%3D%22160%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22635480%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22635640%22%20data-d%3D%22600%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22636600%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22636960%22%20data-d%3D%22120%22%3E%20need%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22637120%22%20data-d%3D%22120%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22637280%22%20data-d%3D%22120%22%3E%20get%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22637440%22%20data-d%3D%22199%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22637680%22%20data-d%3D%22600%22%3E%20data.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A38%22%3E%3CSPAN%20data-m%3D%22638880%22%20data-d%3D%22159%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22639040%22%20data-d%3D%22200%22%3E%20get%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22639240%22%20data-d%3D%22200%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22639480%22%20data-d%3D%22279%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22639880%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22640080%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22640320%22%20data-d%3D%22159%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22640520%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22640680%22%20data-d%3D%22160%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22640880%22%20data-d%3D%22519%22%3E%20called%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22642640%22%20data-d%3D%22639%22%3EPower%20JMP%20procedure.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A43%22%3E%3CSPAN%20data-m%3D%22643680%22%20data-d%3D%22120%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22643840%22%20data-d%3D%22120%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22644000%22%20data-d%3D%22320%22%3E%20case%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22644400%22%20data-d%3D%22320%22%3E%20nothing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22644800%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22644960%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22645120%22%20data-d%3D%22159%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22645280%22%20data-d%3D%22360%22%3E%20JMP%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22645680%22%20data-d%3D%22240%22%3E%20even%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22645960%22%20data-d%3D%22199%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22646200%22%20data-d%3D%22199%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22646440%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22646640%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22646800%22%20data-d%3D%22759%22%3E%20powerful%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22647960%22%20data-d%3D%22879%22%3E%20software.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A49%22%3E%3CSPAN%20data-m%3D%22649000%22%20data-d%3D%22720%22%3EBut%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A51%22%3E%3CSPAN%20data-m%3D%22651120%22%20data-d%3D%22279%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22651440%22%20data-d%3D%2279%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22651560%22%20data-d%3D%2280%22%3E%20how%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22651680%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22651840%22%20data-d%3D%22639%22%3E%20procedure%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22652600%22%20data-d%3D%22279%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22652920%22%20data-d%3D%22480%22%3E%20called.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A10%3A54%22%3E%3CSPAN%20data-m%3D%22654560%22%20data-d%3D%22320%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22654920%22%20data-d%3D%22520%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22655600%22%20data-d%3D%22199%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22655840%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22656000%22%20data-d%3D%22279%22%3E%20bottom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22656360%22%20data-d%3D%22240%22%3E%20gives%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22656640%22%20data-d%3D%22600%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22657800%22%20data-d%3D%22280%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22658120%22%20data-d%3D%22279%22%3E%20example%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22658480%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22658680%22%20data-d%3D%22160%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22658880%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22659080%22%20data-d%3D%22839%22%3E%20procedure.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A00%22%3E%3CSPAN%20data-m%3D%22660320%22%20data-d%3D%22319%22%3EAt%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22660680%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22660800%22%20data-d%3D%22200%22%3E%20fixed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22661040%22%20data-d%3D%22400%22%3E%20speed%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22661520%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22661760%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22662040%22%20data-d%3D%22440%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22663480%22%20data-d%3D%22879%22%3E%2011%20successive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22664480%22%20data-d%3D%22679%22%3E%20Power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22665760%22%20data-d%3D%22759%22%3E%20JMP.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A07%22%3E%3CSPAN%20data-m%3D%22667720%22%20data-d%3D%22199%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22667920%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22668160%22%20data-d%3D%22560%22%3E%20case%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22668880%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22669160%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22669360%22%20data-d%3D%22279%22%3E%20switch%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22669640%22%20data-d%3D%22320%22%3Efrom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22670040%22%20data-d%3D%22200%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22670240%22%20data-d%3D%22200%22%3E%20kilowatts%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22670440%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22670640%22%20data-d%3D%22200%22%3E%20eight%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22670880%22%20data-d%3D%22200%22%3E%20kilowatts%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A11%22%3E%3CSPAN%20data-m%3D%22671080%22%20data-d%3D%22199%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22671280%22%20data-d%3D%22200%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22671480%22%20data-d%3D%22199%22%3E%20kilowatts%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22671680%22%20data-d%3D%221920%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22673640%22%20data-d%3D%22159%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22673800%22%20data-d%3D%22560%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A14%22%3E%3CSPAN%20data-m%3D%22674840%22%20data-d%3D%22159%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22675000%22%20data-d%3D%22360%22%3E%20target%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22675400%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22675600%22%20data-d%3D%22120%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22675760%22%20data-d%3D%22399%22%3E%20reduce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22676200%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22676440%22%20data-d%3D%22399%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22676960%22%20data-d%3D%22679%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22678360%22%20data-d%3D%22759%22%3Eoptions%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22679680%22%20data-d%3D%22320%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22680000%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22680160%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22680360%22%20data-d%3D%22439%22%3E%20do%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A20%22%3E%3CSPAN%20data-m%3D%22680920%22%20data-d%3D%22440%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22681480%22%20data-d%3D%22279%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22681840%22%20data-d%3D%22360%22%3E%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22682280%22%20data-d%3D%22320%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22682640%22%20data-d%3D%22399%22%3E%20weld%2C%20we%20will%20have%2011%20sample%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A26%22%3E%3CSPAN%20data-m%3D%22686080%22%20data-d%3D%22439%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22686600%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22686840%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22687120%22%20data-d%3D%22279%22%3Ehave%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22687440%22%20data-d%3D%22399%22%3E%2011%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22687920%22%20data-d%3D%221000%22%3E%20observations%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22689240%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22689600%22%20data-d%3D%22559%22%3E%20do.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A32%22%3E%3CSPAN%20data-m%3D%22692040%22%20data-d%3D%22639%22%3EAfterwards%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22692720%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22692960%22%20data-d%3D%22360%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22693400%22%20data-d%3D%22480%22%3E%20visually%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22693960%22%20data-d%3D%22879%22%3E%20examine%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A35%22%3E%3CSPAN%20data-m%3D%22695520%22%20data-d%3D%22360%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22695880%22%20data-d%3D%22320%22%3E%20upper%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22696280%22%20data-d%3D%22519%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22696920%22%20data-d%3D%22280%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22697240%22%20data-d%3D%22279%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22697600%22%20data-d%3D%22279%22%3E%20bead%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22697960%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22698160%22%20data-d%3D%22280%22%3E%20lower%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22698480%22%20data-d%3D%22399%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22698960%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22699200%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22699480%22%20data-d%3D%22319%22%3E%20bead%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A39%22%3E%3CSPAN%20data-m%3D%22699880%22%20data-d%3D%22399%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22700360%22%20data-d%3D%22279%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22700680%22%20data-d%3D%22640%22%3E%20slot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22701840%22%20data-d%3D%22319%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22702200%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22702360%22%20data-d%3D%22759%22%3E%20sample.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A43%22%3E%3CSPAN%20data-m%3D%22703280%22%20data-d%3D%22320%22%3EAll%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22703640%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22703760%22%20data-d%3D%22159%22%3E%20these%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22703960%22%20data-d%3D%22439%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22704520%22%20data-d%3D%22279%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22704880%22%20data-d%3D%22519%22%3E%20collected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22705440%22%20data-d%3D%22639%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22706400%22%20data-d%3D%22800%22%3E%20JMP%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A48%22%3E%3CSPAN%20data-m%3D%22708120%22%20data-d%3D%22759%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22709680%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22710040%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22710280%22%20data-d%3D%22160%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22710480%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22710920%22%20data-d%3D%22400%22%3EGraph%20Builder%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22711360%22%20data-d%3D%22439%22%3E%20platform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22711920%22%20data-d%3D%22240%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22712160%22%20data-d%3D%22560%22%3E%20order%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A55%22%3E%3CSPAN%20data-m%3D%22715080%22%20data-d%3D%22360%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22715440%22%20data-d%3D%22359%22%3E%20display%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22715800%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22716080%22%20data-d%3D%22319%22%3E%20map.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A56%22%3E%3CSPAN%20data-m%3D%22716640%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22716840%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22717120%22%20data-d%3D%22159%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22717320%22%20data-d%3D%22199%22%3E%20I'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22717520%22%20data-d%3D%22200%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22717720%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22717920%22%20data-d%3D%22160%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22718080%22%20data-d%3D%22360%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22718520%22%20data-d%3D%22240%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22718800%22%20data-d%3D%22480%22%3E%20now.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A11%3A59%22%3E%3CSPAN%20data-m%3D%22719720%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22719920%22%20data-d%3D%22160%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22720080%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22720280%22%20data-d%3D%22519%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22720920%22%20data-d%3D%22440%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22721440%22%20data-d%3D%22639%22%3E%20journal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22722200%22%20data-d%3D%22439%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A04%22%3E%3CSPAN%20data-m%3D%22724520%22%20data-d%3D%22120%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22724640%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22724800%22%20data-d%3D%22360%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22725240%22%20data-d%3D%22279%22%3E%20four%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22725560%22%20data-d%3D%22520%22%3E%20steps%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22726160%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22726360%22%20data-d%3D%22639%22%3E%20follow.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A07%22%3E%3CSPAN%20data-m%3D%22727520%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22727680%22%20data-d%3D%22240%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22727960%22%20data-d%3D%22360%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22728400%22%20data-d%3D%22279%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22728760%22%20data-d%3D%22600%22%3E%20step%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22730160%22%20data-d%3D%22440%22%3E%20building%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22730640%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22730920%22%20data-d%3D%22320%22%3E%20welding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22731280%22%20data-d%3D%22600%22%3E%20format.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A12%22%3E%3CSPAN%20data-m%3D%22732200%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22732360%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22732600%22%20data-d%3D%22600%22%3E%20open%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A14%22%3E%3CSPAN%20data-m%3D%22734760%22%20data-d%3D%22440%22%3Emy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22735280%22%20data-d%3D%22600%22%3E%20table.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A19%22%3E%3CSPAN%20data-m%3D%22739160%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22739560%22%20data-d%3D%22480%22%3E%20collected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22740080%22%20data-d%3D%22199%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22740280%22%20data-d%3D%22200%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22740520%22%20data-d%3D%22399%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22741040%22%20data-d%3D%22240%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22741320%22%20data-d%3D%22199%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22741600%22%20data-d%3D%22439%22%3E%20table.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A22%22%3E%3CSPAN%20data-m%3D%22742160%22%20data-d%3D%22280%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22742440%22%20data-d%3D%22279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22742760%22%20data-d%3D%22240%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22743040%22%20data-d%3D%22480%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22743680%22%20data-d%3D%22760%22%3E%20parameters%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22744560%22%20data-d%3D%22760%22%3E%20here%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22745520%22%20data-d%3D%22320%22%3Eso%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22746200%22%20data-d%3D%22599%22%3Elaser%20power%2C%20the%20welding%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A28%22%3E%3CSPAN%20data-m%3D%22748040%22%20data-d%3D%22320%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22748400%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22748600%22%20data-d%3D%22799%22%3E%20column%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22750360%22%20data-d%3D%22399%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22750840%22%20data-d%3D%221000%22%3E%20inserted%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22752040%22%20data-d%3D%22360%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22752440%22%20data-d%3D%22359%22%3E%20visual%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22752840%22%20data-d%3D%22919%22%3E%20observation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A35%22%3E%3CSPAN%20data-m%3D%22755200%22%20data-d%3D%22199%22%3EIs%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22755440%22%20data-d%3D%22159%22%3E%20there%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22755640%22%20data-d%3D%22200%22%3E%20any%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22755880%22%20data-d%3D%22919%22%3E%20penetration%3F%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22757000%22%20data-d%3D%22360%22%3E%20Yes%2FN%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22757440%22%20data-d%3D%22599%22%3Eo.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A38%22%3E%3CSPAN%20data-m%3D%22758960%22%20data-d%3D%22319%22%3EDo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22759320%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22759440%22%20data-d%3D%22239%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22759760%22%20data-d%3D%22440%22%3E%20material%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22760280%22%20data-d%3D%22440%22%3E%20loss%3F%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22760840%22%20data-d%3D%22399%22%3E%20Yes%2FN%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22761320%22%20data-d%3D%22599%22%3Eo.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A43%22%3E%3CSPAN%20data-m%3D%22763080%22%20data-d%3D%22319%22%3EHumping%3F%20Yes%2FNo%2C%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22763400%22%20data-d%3D%22159%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22763560%22%20data-d%3D%22600%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A45%22%3E%3CSPAN%20data-m%3D%22765480%22%20data-d%3D%22439%22%3EA%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22766000%22%20data-d%3D%22200%22%3Et%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22766200%22%20data-d%3D%22479%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22766840%22%20data-d%3D%22519%22%3E%20end%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22767480%22%20data-d%3D%22679%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22769040%22%20data-d%3D%22519%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22769680%22%20data-d%3D%22480%22%3E%20file%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22770240%22%20data-d%3D%22279%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22770560%22%20data-d%3D%22280%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22770920%22%20data-d%3D%22200%22%3E%20put%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22771120%22%20data-d%3D%22159%22%3E%20as%20you%20can%20see%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A52%22%3E%3CSPAN%20data-m%3D%22772320%22%20data-d%3D%22439%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22772840%22%20data-d%3D%22279%22%3E%20had%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22773160%22%20data-d%3D%22600%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22774320%22%20data-d%3D%22599%22%3E%20additional%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22775000%22%20data-d%3D%22919%22%3E%20columns%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A12%3A56%22%3E%3CSPAN%20data-m%3D%22776480%22%20data-d%3D%22720%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22777360%22%20data-d%3D%22919%22%3E%20expression%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22778400%22%20data-d%3D%22399%22%3E%20vector%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22778880%22%20data-d%3D%22399%22%3E%20type%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22779360%22%20data-d%3D%22319%22%3E%20where%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22779720%22%20data-d%3D%22199%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22779960%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22780160%22%20data-d%3D%221080%22%3E%20inserted%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A02%22%3E%3CSPAN%20data-m%3D%22782280%22%20data-d%3D%22360%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22782640%22%20data-d%3D%22440%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22783160%22%20data-d%3D%22560%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22783840%22%20data-d%3D%22360%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22784240%22%20data-d%3D%22240%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22784560%22%20data-d%3D%22880%22%3E%20observations.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A06%22%3E%3CSPAN%20data-m%3D%22786840%22%20data-d%3D%22360%22%3EAs%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22787200%22%20data-d%3D%22159%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22787400%22%20data-d%3D%22320%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22787800%22%20data-d%3D%22720%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22788720%22%20data-d%3D%22439%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22789200%22%20data-d%3D%22399%22%3Ealso%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22789720%22%20data-d%3D%22240%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22789960%22%20data-d%3D%22719%22%3E%20requested%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22790760%22%20data-d%3D%22279%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22791080%22%20data-d%3D%22279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22791440%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22791800%22%20data-d%3D%22680%22%3E%20information%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A12%22%3E%3CSPAN%20data-m%3D%22792680%22%20data-d%3D%22640%22%3Edisplayed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22793320%22%20data-d%3D%22120%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22793480%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22793800%22%20data-d%3D%22100%22%3Estudy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22794080%22%20data-d%3D%22599%22%3Earea.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A16%22%3E%3CSPAN%20data-m%3D%22796280%22%20data-d%3D%22200%22%3ENow%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22796560%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22796720%22%20data-d%3D%22120%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22796880%22%20data-d%3D%22240%22%3E%20ready%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22797200%22%20data-d%3D%22199%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22797400%22%20data-d%3D%22279%22%3E%20open%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22797720%22%20data-d%3D%22559%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22798840%22%20data-d%3D%22759%22%3EGraph%20Builder.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A20%22%3E%3CSPAN%20data-m%3D%22800800%22%20data-d%3D%22720%22%3EHere%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A22%22%3E%3CSPAN%20data-m%3D%22802640%22%20data-d%3D%22320%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22803000%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22803200%22%20data-d%3D%22199%22%3E%20learn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22803440%22%20data-d%3D%22479%22%3E%20it%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22804040%22%20data-d%3D%22680%22%3Eokay%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A32%22%3E%3CSPAN%20data-m%3D%22812080%22%20data-d%3D%22120%22%3EAll%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22812240%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22812400%22%20data-d%3D%22279%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22812760%22%20data-d%3D%22240%22%3E%20has%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22813040%22%20data-d%3D%22160%22%3E%20been%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22813240%22%20data-d%3D%22480%22%3Ecollected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22813760%22%20data-d%3D%22360%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22814200%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22814480%22%20data-d%3D%22480%22%3E%20map.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A35%22%3E%3CSPAN%20data-m%3D%22815120%22%20data-d%3D%22679%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22816480%22%20data-d%3D%22319%22%3Eyou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22816840%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22817040%22%20data-d%3D%22200%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22817240%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22817520%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22817680%22%20data-d%3D%22560%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22818560%22%20data-d%3D%22360%22%3E%20X-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22818960%22%20data-d%3D%22799%22%3Eaxis%2C%20I%20put%20my%20welding%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A42%22%3E%3CSPAN%20data-m%3D%22822240%22%20data-d%3D%22240%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22822480%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22822680%22%20data-d%3D%22200%22%3E%20Y-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22822920%22%20data-d%3D%22600%22%3Eaxis%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22823640%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22823880%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22824040%22%20data-d%3D%22240%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22824760%22%20data-d%3D%22639%22%3Elaser%20power.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A47%22%3E%3CSPAN%20data-m%3D%22827160%22%20data-d%3D%22360%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22827560%22%20data-d%3D%22360%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22828000%22%20data-d%3D%221039%22%3E%20associated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22829800%22%20data-d%3D%22360%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22830200%22%20data-d%3D%22559%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22830920%22%20data-d%3D%22879%22%3E%20defect%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22832440%22%20data-d%3D%22599%22%3E%20color%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22833160%22%20data-d%3D%22560%22%3E%20or%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22833840%22%20data-d%3D%22719%22%3E%20shape.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A13%3A54%22%3E%3CSPAN%20data-m%3D%22834720%22%20data-d%3D%22399%22%3EA%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22835200%22%20data-d%3D%22639%22%3Elso%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22836880%22%20data-d%3D%22320%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22837240%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22837400%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22837600%22%20data-d%3D%22120%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22837720%22%20data-d%3D%22679%22%3E%20association%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22838480%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22838720%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22838920%22%20data-d%3D%22520%22%3E%20color%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22839560%22%20data-d%3D%22320%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22839920%22%20data-d%3D%22840%22%3E%20shape%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22840960%22%20data-d%3D%22319%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22841320%22%20data-d%3D%22199%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22841600%22%20data-d%3D%22159%22%3E%20way%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A01%22%3E%3CSPAN%20data-m%3D%22841800%22%20data-d%3D%22160%22%3Ewhich%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22841960%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22842120%22%20data-d%3D%2280%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22842240%22%20data-d%3D%22399%22%3E%20convenient%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22842720%22%20data-d%3D%22199%22%3E%20way%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22842960%22%20data-d%3D%22439%22%3E%20because%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22843520%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22843760%22%20data-d%3D%22200%22%3E%20can%20overlay%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A04%22%3E%3CSPAN%20data-m%3D%22844880%22%20data-d%3D%22399%22%3Efour%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22845360%22%20data-d%3D%22399%22%3E%20different%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22845840%22%20data-d%3D%22439%22%3E%20type%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22846360%22%20data-d%3D%22639%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22847680%22%20data-d%3D%221120%22%3E%20defects%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22849480%22%20data-d%3D%22279%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22849800%22%20data-d%3D%2280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22849920%22%20data-d%3D%22200%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22850160%22%20data-d%3D%22680%22%3E%20time%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22851040%22%20data-d%3D%22320%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22851400%22%20data-d%3D%22159%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22851600%22%20data-d%3D%22600%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A13%22%3E%3CSPAN%20data-m%3D%22853240%22%20data-d%3D%22319%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22853560%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22853680%22%20data-d%3D%22120%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22853800%22%20data-d%3D%22160%22%3E%20I'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22853960%22%20data-d%3D%22199%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22854200%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22854400%22%20data-d%3D%22159%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22854600%22%20data-d%3D%22199%22%3E%20you.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A15%22%3E%3CSPAN%20data-m%3D%22855000%22%20data-d%3D%22159%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22855200%22%20data-d%3D%22719%22%3E%20instance%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22856080%22%20data-d%3D%22360%22%3Eif%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22856480%22%20data-d%3D%22199%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22856720%22%20data-d%3D%22319%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22857120%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22857480%22%20data-d%3D%22240%22%3E%20blue%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22857800%22%20data-d%3D%22440%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22858360%22%20data-d%3D%22480%22%3E%20here%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A20%22%3E%3CSPAN%20data-m%3D%22860200%22%20data-d%3D%22519%22%3Eaccording%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22860720%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22860880%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22861040%22%20data-d%3D%22720%22%3E%20legend%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22862600%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22862960%22%20data-d%3D%22240%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22863240%22%20data-d%3D%22240%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22863560%22%20data-d%3D%22720%22%3E%20spatters.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A25%22%3E%3CSPAN%20data-m%3D%22865120%22%20data-d%3D%22240%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22865360%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22865560%22%20data-d%3D%22400%22%3E%20exactly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22866080%22%20data-d%3D%22240%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22866320%22%20data-d%3D%22239%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22866600%22%20data-d%3D%22720%22%3E%20pictures%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22868480%22%20data-d%3D%22360%22%3Eshow%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22868880%22%20data-d%3D%22399%22%3E%20you.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A29%22%3E%3CSPAN%20data-m%3D%22869720%22%20data-d%3D%22600%22%3EHere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22870880%22%20data-d%3D%22320%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22871200%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22871360%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22871560%22%20data-d%3D%22400%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22872040%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22872280%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22872440%22%20data-d%3D%22359%22%3E%20upper%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22872840%22%20data-d%3D%22240%22%3E%20part%20of%20my%20weld%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A34%22%3E%3CSPAN%20data-m%3D%22874200%22%20data-d%3D%22279%22%3Ehere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22874520%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22874720%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22874920%22%20data-d%3D%22360%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22875360%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22875600%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22876040%22%20data-d%3D%22360%22%3E%20lower%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22876480%22%20data-d%3D%22360%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22876920%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22877160%22%20data-d%3D%22200%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22877400%22%20data-d%3D%22519%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A38%22%3E%3CSPAN%20data-m%3D%22878040%22%20data-d%3D%22280%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22878320%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22878520%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22878680%22%20data-d%3D%22160%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22878880%22%20data-d%3D%22159%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22879040%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22879200%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22879400%22%20data-d%3D%221080%22%3E%20effectively%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22880800%22%20data-d%3D%22400%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22881240%22%20data-d%3D%22840%22%3E%20spatters%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A44%22%3E%3CSPAN%20data-m%3D%22884560%22%20data-d%3D%22360%22%3Ewhereas%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22884920%22%20data-d%3D%22280%22%3E%20bottom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22885240%22%20data-d%3D%22279%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22885560%22%20data-d%3D%22600%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22886560%22%20data-d%3D%22480%22%3E%20defect-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22887080%22%20data-d%3D%22599%22%3Efree.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A48%22%3E%3CSPAN%20data-m%3D%22888000%22%20data-d%3D%22320%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22888360%22%20data-d%3D%22319%22%3E%20instance%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22888720%22%20data-d%3D%22199%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22888960%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22889120%22%20data-d%3D%22159%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22889320%22%20data-d%3D%22239%22%3E%20another%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22889640%22%20data-d%3D%22200%22%3E%20one%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22889880%22%20data-d%3D%22159%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22890040%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22890200%22%20data-d%3D%22559%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22890920%22%20data-d%3D%22320%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22891280%22%20data-d%3D%22360%22%3E%20purple%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22891720%22%20data-d%3D%22279%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22892040%22%20data-d%3D%22240%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A52%22%3E%3CSPAN%20data-m%3D%22892360%22%20data-d%3D%22199%22%3ESo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22892600%22%20data-d%3D%22639%22%3E%20purple%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22893400%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22893680%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22893840%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22894000%22%20data-d%3D%22720%22%3E%20association%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22894800%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22895040%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22895480%22%20data-d%3D%22319%22%3E%20blue%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22895840%22%20data-d%3D%22439%22%3E%20defect%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22896360%22%20data-d%3D%22199%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22896560%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22896880%22%20data-d%3D%22320%22%3E%20red%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22897240%22%20data-d%3D%22360%22%3E%20defect.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A14%3A58%22%3E%3CSPAN%20data-m%3D%22898280%22%20data-d%3D%22279%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22898600%22%20data-d%3D%22360%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22899080%22%20data-d%3D%22279%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22899440%22%20data-d%3D%22479%22%3E%20spatters%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22899960%22%20data-d%3D%22199%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22900160%22%20data-d%3D%22320%22%3E%20bottom%20spatters%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A01%22%3E%3CSPAN%20data-m%3D%22901120%22%20data-d%3D%22120%22%3E%20which%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22901280%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22901520%22%20data-d%3D%221080%22%3E%20effectively%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22902920%22%20data-d%3D%22360%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22903280%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22903480%22%20data-d%3D%22199%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22903760%22%20data-d%3D%22279%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22904080%22%20data-d%3D%22639%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22905800%22%20data-d%3D%22320%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22906120%22%20data-d%3D%22159%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22906320%22%20data-d%3D%22359%22%3E%20picture.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A06%22%3E%3CSPAN%20data-m%3D%22906920%22%20data-d%3D%22120%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22907040%22%20data-d%3D%22440%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22907600%22%20data-d%3D%22240%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22907840%22%20data-d%3D%22559%22%3E%20convenient%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22908480%22%20data-d%3D%22360%22%3E%20way%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22910440%22%20data-d%3D%22799%22%3E%20to%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22911400%22%20data-d%3D%22360%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22911800%22%20data-d%3D%22879%22%3E%20effectively.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A13%22%3E%3CSPAN%20data-m%3D%22913040%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22913240%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22913400%22%20data-d%3D%22120%22%3E%20no%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22913560%22%20data-d%3D%22760%22%3E%20mistake%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22914760%22%20data-d%3D%22279%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22915040%22%20data-d%3D%22240%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22915320%22%20data-d%3D%22599%22%3E%20to%20know%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22916760%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22917000%22%20data-d%3D%221000%22%3E%20magnitude%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22918120%22%20data-d%3D%22679%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22919360%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22919720%22%20data-d%3D%22720%22%3E%20defect.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A21%22%3E%3CSPAN%20data-m%3D%22921480%22%20data-d%3D%22399%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22921920%22%20data-d%3D%22680%22%3E%20feature%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22922800%22%20data-d%3D%22400%22%3E%20using%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22923240%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22923480%22%20data-d%3D%22439%22%3E%20pictures%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22924000%22%20data-d%3D%22320%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22924360%22%20data-d%3D%22319%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22924720%22%20data-d%3D%22279%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22925040%22%20data-d%3D%22480%22%3E%20convenient%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22925600%22%20data-d%3D%22240%22%3E%20because%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22925880%22%20data-d%3D%22159%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22926040%22%20data-d%3D%22400%22%3E%20instance%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A26%22%3E%3CSPAN%20data-m%3D%22926520%22%20data-d%3D%22240%22%3Eif%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22926800%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22927000%22%20data-d%3D%22200%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22927280%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22927560%22%20data-d%3D%22280%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22927920%22%20data-d%3D%22560%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22930080%22%20data-d%3D%22279%22%3E%20and%20I%20lock%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22930400%22%20data-d%3D%22639%22%3E%20pictures%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A31%22%3E%3CSPAN%20data-m%3D%22931560%22%20data-d%3D%22400%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22932000%22%20data-d%3D%22200%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22932200%22%20data-d%3D%22199%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22932440%22%20data-d%3D%22319%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22932840%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22933200%22%20data-d%3D%22479%22%3E%20additional%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22933800%22%20data-d%3D%22400%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22934280%22%20data-d%3D%22200%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22934520%22%20data-d%3D%22159%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22934680%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22934840%22%20data-d%3D%22240%22%3E%20lock%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22935120%22%20data-d%3D%22320%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22935520%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22935840%22%20data-d%3D%22719%22%3E%20pictures%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A38%22%3E%3CSPAN%20data-m%3D%22938200%22%20data-d%3D%22359%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22938560%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22938800%22%20data-d%3D%22200%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22939040%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22940000%22%20data-d%3D%22519%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22940600%22%20data-d%3D%22879%22%3E%20constant%20laser%20power%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22943680%22%20data-d%3D%22360%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22944080%22%20data-d%3D%22279%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22944400%22%20data-d%3D%22440%22%3E%20compare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22944880%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22945160%22%20data-d%3D%22519%22%3E%20pictures%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A45%22%3E%3CSPAN%20data-m%3D%22945800%22%20data-d%3D%22759%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22946760%22%20data-d%3D%22320%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22947120%22%20data-d%3D%22200%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22947320%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22947520%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22947800%22%20data-d%3D%22960%22%3E%20effects%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22948960%22%20data-d%3D%22399%22%3E%20when%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22949400%22%20data-d%3D%22600%22%3E%20varying%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22950040%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22950760%22%20data-d%3D%22240%22%3Ewelding%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A51%22%3E%3CSPAN%20data-m%3D%22951240%22%20data-d%3D%22159%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22951400%22%20data-d%3D%22159%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22951600%22%20data-d%3D%22559%22%3E%20case%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A52%22%3E%3CSPAN%20data-m%3D%22952560%22%20data-d%3D%22360%22%3Ewhen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22952960%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22953200%22%20data-d%3D%22559%22%3E%20increase%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22953880%22%20data-d%3D%22320%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22954760%22%20data-d%3D%22399%22%3Ewelding%20speed%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22955240%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22955480%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22955680%22%20data-d%3D%22160%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22955840%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22957360%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22957760%22%20data-d%3D%22279%22%3E%20width%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22958080%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22958360%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22958600%22%20data-d%3D%22319%22%3E%20weld%20seam%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A15%3A59%22%3E%3CSPAN%20data-m%3D%22959880%22%20data-d%3D%22799%22%3Edecrease%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22960800%22%20data-d%3D%22280%22%3E%20both%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22961120%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22961320%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22961480%22%20data-d%3D%22199%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22963640%22%20data-d%3D%22320%22%3E%20and%20both%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22963960%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22964120%22%20data-d%3D%22600%22%3E%20bottom.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A06%22%3E%3CSPAN%20data-m%3D%22966000%22%20data-d%3D%22120%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22966120%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22966280%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22966520%22%20data-d%3D%22600%22%3E%20convenient%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22967200%22%20data-d%3D%22639%22%3E%20way%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22968280%22%20data-d%3D%22320%22%3E%20let's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22968640%22%20data-d%3D%22560%22%3E%20say%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A09%22%3E%3CSPAN%20data-m%3D%22969640%22%20data-d%3D%22399%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22970120%22%20data-d%3D%22279%22%3E%20dip%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22970440%22%20data-d%3D%22279%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22970760%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22971000%22%20data-d%3D%22879%22%3E%20understanding%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22972000%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22972320%22%20data-d%3D%22239%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22972640%22%20data-d%3D%22600%22%3E%20process.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A15%22%3E%3CSPAN%20data-m%3D%22975160%22%20data-d%3D%22160%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22975360%22%20data-d%3D%22279%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22975720%22%20data-d%3D%22319%22%3E%20close%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22976080%22%20data-d%3D%22639%22%3E%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A19%22%3E%3CSPAN%20data-m%3D%22979560%22%20data-d%3D%22320%22%3EI'll%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22979920%22%20data-d%3D%22120%22%3E%20come%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22980080%22%20data-d%3D%22159%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22980280%22%20data-d%3D%22120%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22980400%22%20data-d%3D%22159%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22980600%22%20data-d%3D%22360%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22981000%22%20data-d%3D%22559%22%3E%20case.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A23%22%3E%3CSPAN%20data-m%3D%22983080%22%20data-d%3D%22360%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22983440%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22983640%22%20data-d%3D%22519%22%3E%20interested%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22984320%22%20data-d%3D%22719%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22987160%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22987520%22%20data-d%3D%22759%22%3E%20good%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22988440%22%20data-d%3D%22439%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A29%22%3E%3CSPAN%20data-m%3D%22989240%22%20data-d%3D%22200%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22989440%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22989680%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22989880%22%20data-d%3D%22240%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22990640%22%20data-d%3D%22200%22%3E%20that%20I'm%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22990880%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22991120%22%20data-d%3D%22399%22%3E%20highlight%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22991600%22%20data-d%3D%22639%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A34%22%3E%3CSPAN%20data-m%3D%22994320%22%20data-d%3D%22319%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22994680%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22994800%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22995000%22%20data-d%3D%22279%22%3E%20black%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%22995360%22%20data-d%3D%22600%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A36%22%3E%3CSPAN%20data-m%3D%22996140%22%20data-d%3D%221000%22%3EOkay%2C%20like%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A44%22%3E%3CSPAN%20data-m%3D%221004440%22%20data-d%3D%22399%22%3EOkay%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221004880%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221005080%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221005240%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221005520%22%20data-d%3D%22360%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221005960%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221006160%22%20data-d%3D%22600%22%3E%20interest.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A48%22%3E%3CSPAN%20data-m%3D%221008760%22%20data-d%3D%22480%22%3ENow%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221009320%22%20data-d%3D%22199%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221009520%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221009760%22%20data-d%3D%22200%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221010000%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221010200%22%20data-d%3D%22559%22%3E%20do%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A52%22%3E%3CSPAN%20data-m%3D%221012880%22%20data-d%3D%22360%22%3Elet's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221013280%22%20data-d%3D%2280%22%3E%20say%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221013400%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221013640%22%20data-d%3D%221080%22%3E%20investigate%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A56%22%3E%3CSPAN%20data-m%3D%221016320%22%20data-d%3D%22359%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221016720%22%20data-d%3D%22399%22%3E%20behavior%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221017200%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221017440%22%20data-d%3D%22319%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221017840%22%20data-d%3D%22959%22%3E%20weld%20seam%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A16%3A58%22%3E%3CSPAN%20data-m%3D%221018960%22%20data-d%3D%22319%22%3Efrom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221019320%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221019480%22%20data-d%3D%22559%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221020120%22%20data-d%3D%22200%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221020360%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221020520%22%20data-d%3D%22440%22%3E%20view%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221021080%22%20data-d%3D%22679%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221021920%22%20data-d%3D%22320%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221022240%22%20data-d%3D%22360%22%3E%20typical%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221022680%22%20data-d%3D%22520%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A03%22%3E%3CSPAN%20data-m%3D%221023360%22%20data-d%3D%22240%22%3EOf%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221023640%22%20data-d%3D%22159%22%3E%20course%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221023840%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221024040%22%20data-d%3D%22160%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221024240%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221024400%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221024560%22%20data-d%3D%22480%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221025200%22%20data-d%3D%22279%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221025520%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221025680%22%20data-d%3D%22439%22%3E%20minimum%20number%20of%20tests%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A07%22%3E%3CSPAN%20data-m%3D%221027720%22%20data-d%3D%22519%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221028319%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221028640%22%20data-d%3D%22559%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221029319%22%20data-d%3D%22759%22%3Eperform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221030240%22%20data-d%3D%22319%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221030560%22%20data-d%3D%22240%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221030839%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221031040%22%20data-d%3D%22960%22%3E%20experiment%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A15%22%3E%3CSPAN%20data-m%3D%221035040%22%20data-d%3D%22360%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221035440%22%20data-d%3D%22359%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221035920%22%20data-d%3D%22639%22%3E%20very%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A18%22%3E%3CSPAN%20data-m%3D%221038960%22%20data-d%3D%221000%22%3Eirregular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221040599%22%20data-d%3D%22519%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221041160%22%20data-d%3D%22599%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A25%22%3E%3CSPAN%20data-m%3D%221045319%22%20data-d%3D%22320%22%3EOkay%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221045680%22%20data-d%3D%22159%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221045880%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221046079%22%20data-d%3D%22160%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221046280%22%20data-d%3D%22519%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221046960%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221047319%22%20data-d%3D%22360%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221047760%22%20data-d%3D%22960%22%3E%20presentation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A31%22%3E%3CSPAN%20data-m%3D%221051840%22%20data-d%3D%22720%22%3EBut%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A35%22%3E%3CSPAN%20data-m%3D%221055840%22%20data-d%3D%22800%22%3Ebefore%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221056800%22%20data-d%3D%22720%22%3E%20answering%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221057600%22%20data-d%3D%22240%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221057920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221058080%22%20data-d%3D%22920%22%3E%20conception%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221059720%22%20data-d%3D%22319%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221060040%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221060200%22%20data-d%3D%22200%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221060440%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221060600%22%20data-d%3D%22560%22%3E%20experiment%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A41%22%3E%3CSPAN%20data-m%3D%221061200%22%20data-d%3D%22119%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221061360%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221061520%22%20data-d%3D%22440%22%3E%20another%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221062080%22%20data-d%3D%22600%22%3E%20interesting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221062800%22%20data-d%3D%22720%22%3E%20topic%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221063680%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221064040%22%20data-d%3D%22559%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221065520%22%20data-d%3D%22200%22%3Ewith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221065720%22%20data-d%3D%22639%22%3E%20JMP%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A46%22%3E%3CSPAN%20data-m%3D%221066760%22%20data-d%3D%22440%22%3Ebecause%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221067240%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221067440%22%20data-d%3D%22159%22%3E%20have%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221067640%22%20data-d%3D%22279%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221067960%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221068160%22%20data-d%3D%22240%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221068440%22%20data-d%3D%22599%22%3E%20to%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221070520%22%20data-d%3D%22279%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221070800%22%20data-d%3D%22480%22%3E%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221071360%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221071600%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221071880%22%20data-d%3D%22239%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221072200%22%20data-d%3D%22759%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A53%22%3E%3CSPAN%20data-m%3D%221073480%22%20data-d%3D%2279%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221073600%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221073760%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221073960%22%20data-d%3D%22799%22%3E%20evaluate%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A17%3A55%22%3E%3CSPAN%20data-m%3D%221075680%22%20data-d%3D%22359%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221076040%22%20data-d%3D%22279%22%3E%20basic%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221076400%22%20data-d%3D%22439%22%3E%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221076960%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221077160%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221077320%22%20data-d%3D%22640%22%3E%20material%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221078760%22%20data-d%3D%22359%22%3E%20via%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221079400%22%20data-d%3D%22399%22%3Ean%20Erichsen-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221079840%22%20data-d%3D%22279%22%3Etype%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221080160%22%20data-d%3D%22359%22%3E%20cupping%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221080560%22%20data-d%3D%22640%22%3E%20test.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A04%22%3E%3CSPAN%20data-m%3D%221084000%22%20data-d%3D%22319%22%3EWhy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221084360%22%20data-d%3D%22200%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221084560%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221084760%22%20data-d%3D%22160%22%3E%20doing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221084960%22%20data-d%3D%22559%22%3E%20that%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A05%22%3E%3CSPAN%20data-m%3D%221085640%22%20data-d%3D%22240%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221085920%22%20data-d%3D%22559%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221087040%22%20data-d%3D%22360%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221087440%22%20data-d%3D%22319%22%3E%20targets%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221087840%22%20data-d%3D%22200%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221088080%22%20data-d%3D%22800%22%3E%20objectives.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A09%22%3E%3CSPAN%20data-m%3D%221089320%22%20data-d%3D%22160%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221089480%22%20data-d%3D%22240%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221089760%22%20data-d%3D%22200%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221090000%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221090200%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221090400%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221090560%22%20data-d%3D%22840%22%3E%20establish%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A12%22%3E%3CSPAN%20data-m%3D%221092360%22%20data-d%3D%22320%22%3Ea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221092680%22%20data-d%3D%22919%22%3E%20reference%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221093760%22%20data-d%3D%22319%22%3E%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221094080%22%20data-d%3D%22320%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221094480%22%20data-d%3D%22759%22%3E%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221095840%22%20data-d%3D%22360%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221096240%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221096400%22%20data-d%3D%22399%22%3E%20view.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A17%22%3E%3CSPAN%20data-m%3D%221097200%22%20data-d%3D%22200%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221097400%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221097680%22%20data-d%3D%22399%22%3E%20way%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221098160%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221098440%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221098640%22%20data-d%3D%22159%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221098840%22%20data-d%3D%22320%22%3E%20able%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221099240%22%20data-d%3D%22240%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221099560%22%20data-d%3D%22400%22%3E%20compare%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A20%22%3E%3CSPAN%20data-m%3D%221100040%22%20data-d%3D%22200%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221100280%22%20data-d%3D%22839%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221101800%22%20data-d%3D%22319%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221102160%22%20data-d%3D%22159%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221102360%22%20data-d%3D%22240%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221102680%22%20data-d%3D%22720%22%3E%20material%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221103600%22%20data-d%3D%22320%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221103960%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221104120%22%20data-d%3D%22960%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221105280%22%20data-d%3D%22400%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221105720%22%20data-d%3D%22599%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221107120%22%20data-d%3D%221000%22%3E%20weld%20seam.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A29%22%3E%3CSPAN%20data-m%3D%221109520%22%20data-d%3D%22120%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221109680%22%20data-d%3D%2279%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221109800%22%20data-d%3D%2280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221109920%22%20data-d%3D%22199%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221110160%22%20data-d%3D%22279%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A30%22%3E%3CSPAN%20data-m%3D%221110520%22%20data-d%3D%22200%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221110720%22%20data-d%3D%22319%22%3E%20second%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221111160%22%20data-d%3D%22399%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221111960%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221112200%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221112400%22%20data-d%3D%22199%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221112640%22%20data-d%3D%22319%22%3E%20able%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221113040%22%20data-d%3D%22600%22%3E%20to%20compare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221115280%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221115520%22%20data-d%3D%22160%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221115720%22%20data-d%3D%22319%22%3E%20pieces%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221116040%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221116280%22%20data-d%3D%22440%22%3E%20material%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A36%22%3E%3CSPAN%20data-m%3D%221116800%22%20data-d%3D%22200%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221117040%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221117360%22%20data-d%3D%22640%22%3E%20customer%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221118200%22%20data-d%3D%22480%22%3E%20sends%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221118680%22%20data-d%3D%22559%22%3E%20us.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A40%22%3E%3CSPAN%20data-m%3D%221120640%22%20data-d%3D%22359%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221121040%22%20data-d%3D%22200%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221121280%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221121520%22%20data-d%3D%22200%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221121760%22%20data-d%3D%22279%22%3E%20sure%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221122080%22%20data-d%3D%22640%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221123200%22%20data-d%3D%22359%22%3E%20these%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221123600%22%20data-d%3D%22200%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221123800%22%20data-d%3D%22720%22%3E%20pieces%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A46%22%3E%3CSPAN%20data-m%3D%221126040%22%20data-d%3D%22319%22%3Ehave%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221126400%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221126520%22%20data-d%3D%22160%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221126720%22%20data-d%3D%22440%22%3E%20behavior.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A47%22%3E%3CSPAN%20data-m%3D%221127520%22%20data-d%3D%22160%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221127720%22%20data-d%3D%22359%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221128160%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221128440%22%20data-d%3D%22119%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221128560%22%20data-d%3D%22279%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221128920%22%20data-d%3D%22799%22%3E%20ensure%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A52%22%3E%3CSPAN%20data-m%3D%221132280%22%20data-d%3D%22640%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221133040%22%20data-d%3D%22240%22%3E%20they%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221133320%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221133520%22%20data-d%3D%22160%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221133720%22%20data-d%3D%22759%22%3E%20comparable.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A18%3A57%22%3E%3CSPAN%20data-m%3D%221137840%22%20data-d%3D%22360%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221138200%22%20data-d%3D%22240%22%3E%20last%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221138480%22%20data-d%3D%22480%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221139080%22%20data-d%3D%22240%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221139320%22%20data-d%3D%22400%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221139800%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221140040%22%20data-d%3D%22240%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221140320%22%20data-d%3D%22320%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221140680%22%20data-d%3D%22279%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221141000%22%20data-d%3D%22200%22%3E%20check%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221141240%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221141560%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221141800%22%20data-d%3D%22480%22%3E%20plates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221142360%22%20data-d%3D%22360%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221142800%22%20data-d%3D%22720%22%3E%20homogeneous%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A03%22%3E%3CSPAN%20data-m%3D%221143560%22%20data-d%3D%22200%22%3Efrom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221143800%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221143960%22%20data-d%3D%22519%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221144520%22%20data-d%3D%22240%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221144800%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221144960%22%20data-d%3D%22200%22%3E%20view%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221145200%22%20data-d%3D%22359%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221145640%22%20data-d%3D%22199%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221145880%22%20data-d%3D%22159%22%3E%20they%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221146040%22%20data-d%3D%22160%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221146200%22%20data-d%3D%22200%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221146480%22%20data-d%3D%22680%22%3E%20present%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A07%22%3E%3CSPAN%20data-m%3D%221147800%22%20data-d%3D%22600%22%3Eany%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221148480%22%20data-d%3D%22799%22%3E%20profile%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221149400%22%20data-d%3D%22319%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221149720%22%20data-d%3D%22240%22%3E%20their%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221150000%22%20data-d%3D%22359%22%3E%20widths%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221150440%22%20data-d%3D%22279%22%3E%20or%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221150760%22%20data-d%3D%22160%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221150960%22%20data-d%3D%22159%22%3E%20their%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221151160%22%20data-d%3D%22639%22%3E%20lengths.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A16%22%3E%3CSPAN%20data-m%3D%221156280%22%20data-d%3D%22200%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221156480%22%20data-d%3D%22160%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221156680%22%20data-d%3D%22200%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221156960%22%20data-d%3D%22399%22%3E%20Eric%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221157440%22%20data-d%3D%22599%22%3Ehsen-type%20cupping%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221158080%22%20data-d%3D%22600%22%3E%20test%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221159600%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221160000%22%20data-d%3D%22240%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221160320%22%20data-d%3D%22200%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221160560%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221160840%22%20data-d%3D%22200%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221161040%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221161280%22%20data-d%3D%22240%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221161560%22%20data-d%3D%22440%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A22%22%3E%3CSPAN%20data-m%3D%221162360%22%20data-d%3D%22160%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221162560%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221162760%22%20data-d%3D%22200%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221162960%22%20data-d%3D%22599%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221163720%22%20data-d%3D%22680%22%3E%20mentioned%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A24%22%3E%3CSPAN%20data-m%3D%221164520%22%20data-d%3D%22319%22%3Ewhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221164880%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221165120%22%20data-d%3D%22600%22%3E%20highlighted%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221165760%22%20data-d%3D%22400%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221166240%22%20data-d%3D%22240%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221166520%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221166800%22%20data-d%3D%22400%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221167320%22%20data-d%3D%22320%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221167680%22%20data-d%3D%22720%22%3E%20pictures.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A32%22%3E%3CSPAN%20data-m%3D%221172640%22%20data-d%3D%22279%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221172960%22%20data-d%3D%2279%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221173040%22%20data-d%3D%22160%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221173240%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221173400%22%20data-d%3D%22199%22%3E%20any%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A33%22%3E%3CSPAN%20data-m%3D%221173960%22%20data-d%3D%22319%22%3E%20We're%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221174280%22%20data-d%3D%22200%22%3E%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221174520%22%20data-d%3D%22640%22%3E%20performing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221175240%22%20data-d%3D%22599%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221176720%22%20data-d%3D%22680%22%3E%20Erichsen-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221177400%22%20data-d%3D%22199%22%3Etype%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221177640%22%20data-d%3D%22359%22%3E%20cupping%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221178040%22%20data-d%3D%22240%22%3E%20test.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A39%22%3E%3CSPAN%20data-m%3D%221179200%22%20data-d%3D%22319%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221179560%22%20data-d%3D%22519%22%3E%20simplicity%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221180160%22%20data-d%3D%22599%22%3E%20reason%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A41%22%3E%3CSPAN%20data-m%3D%221181640%22%20data-d%3D%22319%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221182000%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221182200%22%20data-d%3D%22559%22%3E%20call%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221182920%22%20data-d%3D%22439%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221183440%22%20data-d%3D%22879%22%3E%20procedure%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221184800%22%20data-d%3D%22400%22%3E%20ball%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221185200%22%20data-d%3D%22599%22%3E%20test%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221186800%22%20data-d%3D%22160%22%3E%20in%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221186960%22%20data-d%3D%22480%22%3E%20remaining%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221187480%22%20data-d%3D%22200%22%3E%20part%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221187680%22%20data-d%3D%22599%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221188600%22%20data-d%3D%22320%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221188960%22%20data-d%3D%22559%22%3E%20presentation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A50%22%3E%3CSPAN%20data-m%3D%221190000%22%20data-d%3D%22200%22%3EThese%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221190240%22%20data-d%3D%22200%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221190480%22%20data-d%3D%22240%22%3E%20ball%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221190760%22%20data-d%3D%22519%22%3E%20tests%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221191360%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221191560%22%20data-d%3D%22240%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221191840%22%20data-d%3D%22640%22%3E%20them%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221193200%22%20data-d%3D%22200%22%3E%20on%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221193440%22%20data-d%3D%22319%22%3E%20different%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221193800%22%20data-d%3D%22480%22%3E%20positions%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A54%22%3E%3CSPAN%20data-m%3D%221194400%22%20data-d%3D%22159%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221194600%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221194720%22%20data-d%3D%22440%22%3E%20material%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221195760%22%20data-d%3D%22279%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221196080%22%20data-d%3D%22480%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221196640%22%20data-d%3D%22199%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221196840%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221197040%22%20data-d%3D%22440%22%3E%20center%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221197600%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221197880%22%20data-d%3D%22239%22%3E%20our%20sample%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A19%3A59%22%3E%3CSPAN%20data-m%3D%221199000%22%20data-d%3D%22319%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221199360%22%20data-d%3D%22680%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221200160%22%20data-d%3D%22359%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221200560%22%20data-d%3D%22160%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221200720%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221200880%22%20data-d%3D%22159%22%3E%20call%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221201040%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221201400%22%20data-d%3D%22240%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221201720%22%20data-d%3D%22279%22%3E%20side%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221202040%22%20data-d%3D%22160%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221202240%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221202400%22%20data-d%3D%22319%22%3E%20machine%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A03%22%3E%3CSPAN%20data-m%3D%221203320%22%20data-d%3D%22480%22%3Eand%20one%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221203880%22%20data-d%3D%22239%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221204160%22%20data-d%3D%22679%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221205040%22%20data-d%3D%22720%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221205800%22%20data-d%3D%22680%22%3E%20side%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221206680%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221206960%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221207120%22%20data-d%3D%22520%22%3E%20machine.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A08%22%3E%3CSPAN%20data-m%3D%221208080%22%20data-d%3D%22400%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221208600%22%20data-d%3D%22280%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221208920%22%20data-d%3D%22519%22%3E%20sample%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221209560%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221209800%22%20data-d%3D%22440%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221210320%22%20data-d%3D%22279%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221210640%22%20data-d%3D%22519%22%3E%20tests.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A12%22%3E%3CSPAN%20data-m%3D%221212280%22%20data-d%3D%22319%22%3EWhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221212640%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221212800%22%20data-d%3D%2280%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221212920%22%20data-d%3D%22159%22%3E%20ball%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221213120%22%20data-d%3D%22280%22%3E%20test%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A13%22%3E%3CSPAN%20data-m%3D%221213440%22%20data-d%3D%22159%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221213600%22%20data-d%3D%22600%22%3E%20fact%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221214520%22%20data-d%3D%22319%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221214840%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221215080%22%20data-d%3D%22840%22%3E%20explained%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A17%22%3E%3CSPAN%20data-m%3D%221217160%22%20data-d%3D%22319%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221217520%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221217680%22%20data-d%3D%22439%22%3E%20pictures%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221218200%22%20data-d%3D%22519%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221218800%22%20data-d%3D%22200%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221219000%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221219200%22%20data-d%3D%22240%22%3E%20bottom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221219520%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221219720%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221219960%22%20data-d%3D%22240%22%3E%20slide.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A20%22%3E%3CSPAN%20data-m%3D%221220920%22%20data-d%3D%22319%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221221280%22%20data-d%3D%22400%22%3E%20simply%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221221720%22%20data-d%3D%22599%22%3E%20take%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A23%22%3E%3CSPAN%20data-m%3D%221223320%22%20data-d%3D%22279%22%3Ea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221223640%22%20data-d%3D%22639%22%3E%20bowl%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221224760%22%20data-d%3D%22319%22%3E%20made%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221225120%22%20data-d%3D%22360%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221225560%22%20data-d%3D%22840%22%3E%20titanium%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221226520%22%20data-d%3D%22680%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221227520%22%20data-d%3D%22319%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221227880%22%20data-d%3D%22439%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221228440%22%20data-d%3D%22359%22%3E%20press%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221228880%22%20data-d%3D%22239%22%3Eit%20from%20the%20bottom%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A30%22%3E%3CSPAN%20data-m%3D%221230240%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221230600%22%20data-d%3D%22160%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221230760%22%20data-d%3D%22240%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221231040%22%20data-d%3D%22480%22%3E%20register%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221231600%22%20data-d%3D%22640%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221234240%22%20data-d%3D%22640%22%3E%20deformation%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221234960%22%20data-d%3D%22119%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221235080%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221235280%22%20data-d%3D%22600%22%3E%20material%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A36%22%3E%3CSPAN%20data-m%3D%221236040%22%20data-d%3D%22319%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221236400%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221236560%22%20data-d%3D%22240%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221236840%22%20data-d%3D%22759%22%3E%20register%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A39%22%3E%3CSPAN%20data-m%3D%221239520%22%20data-d%3D%22319%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221239880%22%20data-d%3D%22439%22%3E%20breakage%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221240400%22%20data-d%3D%22719%22%3E%20force.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A41%22%3E%3CSPAN%20data-m%3D%221241760%22%20data-d%3D%22319%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221242080%22%20data-d%3D%22200%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221242320%22%20data-d%3D%22440%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221242840%22%20data-d%3D%22680%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221244320%22%20data-d%3D%22400%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221244800%22%20data-d%3D%221120%22%3E%20two%20plates%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A47%22%3E%3CSPAN%20data-m%3D%221247840%22%20data-d%3D%22320%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221248200%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221248400%22%20data-d%3D%22719%22%3E%20register%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221249440%22%20data-d%3D%22279%22%3Eall%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221249760%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221249920%22%20data-d%3D%22480%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221250520%22%20data-d%3D%22279%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221250800%22%20data-d%3D%22360%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221251240%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221251520%22%20data-d%3D%22880%22%3E%20analyze%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221253800%22%20data-d%3D%22360%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221254200%22%20data-d%3D%22919%22%3E%20results%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221255680%22%20data-d%3D%22319%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221256040%22%20data-d%3D%22240%22%3E%20JMP.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A20%3A56%22%3E%3CSPAN%20data-m%3D%221256360%22%20data-d%3D%22200%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221256560%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221256760%22%20data-d%3D%22359%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221257200%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221257480%22%20data-d%3D%22599%22%3E%20distribution%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221258160%22%20data-d%3D%22439%22%3E%20platform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221258720%22%20data-d%3D%22200%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221258920%22%20data-d%3D%22399%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221259440%22%20data-d%3D%22359%22%3E%20Fit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221259880%22%20data-d%3D%22239%22%3E%20X%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221260160%22%20data-d%3D%22240%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221260440%22%20data-d%3D%22480%22%3E%20Y%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221261040%22%20data-d%3D%22400%22%3E%20platform.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A01%22%3E%3CSPAN%20data-m%3D%221261720%22%20data-d%3D%22119%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221261840%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221262040%22%20data-d%3D%22120%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221262160%22%20data-d%3D%22199%22%3E%20I'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221262400%22%20data-d%3D%22159%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221262560%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221262760%22%20data-d%3D%22160%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221262920%22%20data-d%3D%22439%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221263480%22%20data-d%3D%22279%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221263800%22%20data-d%3D%22600%22%3E%20now.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A05%22%3E%3CSPAN%20data-m%3D%221265320%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221265600%22%20data-d%3D%22200%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221265800%22%20data-d%3D%22200%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221266040%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221266240%22%20data-d%3D%22400%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221266760%22%20data-d%3D%22279%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221267080%22%20data-d%3D%22400%22%3E%20journal.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A07%22%3E%3CSPAN%20data-m%3D%221267720%22%20data-d%3D%22160%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221267920%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221268040%22%20data-d%3D%22519%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221268720%22%20data-d%3D%22599%22%3E%20second%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221269440%22%20data-d%3D%22639%22%3E%20step%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221270240%22%20data-d%3D%22759%22%3E%20analyzes%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221271160%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221271280%22%20data-d%3D%22200%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221271560%22%20data-d%3D%22440%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A12%22%3E%3CSPAN%20data-m%3D%221272400%22%20data-d%3D%22119%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221272560%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221272800%22%20data-d%3D%22600%22%3E%20open%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221273920%22%20data-d%3D%22399%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221274360%22%20data-d%3D%22680%22%3E%20file.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A15%22%3E%3CSPAN%20data-m%3D%221275640%22%20data-d%3D%22359%22%3EHere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221276040%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221276280%22%20data-d%3D%22600%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221278120%22%20data-d%3D%22320%22%3Eall%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221278480%22%20data-d%3D%22160%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221278680%22%20data-d%3D%22599%22%3E%20data.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A21%22%3E%3CSPAN%20data-m%3D%221281040%22%20data-d%3D%22200%22%3EMy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221281280%22%20data-d%3D%22319%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221281640%22%20data-d%3D%22519%22%3E%20ID%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221282320%22%20data-d%3D%22320%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221282680%22%20data-d%3D%22200%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221282960%22%20data-d%3D%22159%22%3E%201%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221283160%22%20data-d%3D%22159%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221283320%22%20data-d%3D%22360%22%3E%202.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A23%22%3E%3CSPAN%20data-m%3D%221283760%22%20data-d%3D%22200%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221284000%22%20data-d%3D%22200%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221284280%22%20data-d%3D%22400%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221284760%22%20data-d%3D%22240%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221285040%22%20data-d%3D%22200%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221285240%22%20data-d%3D%22559%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221285960%22%20data-d%3D%22759%22%3E%20twice.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A27%22%3E%3CSPAN%20data-m%3D%221287720%22%20data-d%3D%22440%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221288200%22%20data-d%3D%22319%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221288560%22%20data-d%3D%22759%22%3E%20sample%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221289920%22%20data-d%3D%22439%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221290440%22%20data-d%3D%22279%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221290800%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221291000%22%20data-d%3D%22480%22%3E%20measurements%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A31%22%3E%3CSPAN%20data-m%3D%221291560%22%20data-d%3D%22240%22%3Eat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221291840%22%20data-d%3D%22200%22%3E%20three%20different%20locations%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A33%22%3E%3CSPAN%20data-m%3D%221293440%22%20data-d%3D%22319%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221293800%22%20data-d%3D%22240%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221294080%22%20data-d%3D%22200%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221294320%22%20data-d%3D%22560%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221295920%22%20data-d%3D%22519%22%3Erecorded%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221296520%22%20data-d%3D%22319%22%3E%20value%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221296920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221297120%22%20data-d%3D%22320%22%3E%20recorded%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221297520%22%20data-d%3D%22880%22%3E%20strength.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A39%22%3E%3CSPAN%20data-m%3D%221299640%22%20data-d%3D%22359%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221300000%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221300240%22%20data-d%3D%22799%22%3E%20analyze%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221301160%22%20data-d%3D%22240%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221301400%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221301520%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221302160%22%20data-d%3D%22480%22%3E%20and%20I%20store%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221302800%22%20data-d%3D%22680%22%3E%20everything%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221303640%22%20data-d%3D%22359%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221304040%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221304240%22%20data-d%3D%22559%22%3E%20dashboard.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A46%22%3E%3CSPAN%20data-m%3D%221306280%22%20data-d%3D%22240%22%3EFirst%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221306560%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221306680%22%20data-d%3D%22480%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221307280%22%20data-d%3D%22279%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221307600%22%20data-d%3D%22560%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221308320%22%20data-d%3D%22720%22%3E%20interesting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221309840%22%20data-d%3D%22400%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221310320%22%20data-d%3D%22279%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221310640%22%20data-d%3D%22679%22%3E%20visually%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221312120%22%20data-d%3D%22400%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221312600%22%20data-d%3D%22600%22%3E%20result.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A21%3A54%22%3E%3CSPAN%20data-m%3D%221314040%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221314400%22%20data-d%3D%22279%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221314720%22%20data-d%3D%22440%22%3E%20focus%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221315280%22%20data-d%3D%22360%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221315680%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221315880%22%20data-d%3D%22239%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221316160%22%20data-d%3D%22240%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221316440%22%20data-d%3D%22519%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221317120%22%20data-d%3D%22400%22%3E%20custom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221317600%22%20data-d%3D%22320%22%3E%20map%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221318000%22%20data-d%3D%22720%22%3E%20shape.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A01%22%3E%3CSPAN%20data-m%3D%221321280%22%20data-d%3D%22240%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221321600%22%20data-d%3D%22640%22%3E%20blue%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221322640%22%20data-d%3D%22319%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221323000%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221323200%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221323440%22%20data-d%3D%22359%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221323880%22%20data-d%3D%22239%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221324120%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221324320%22%20data-d%3D%22560%22%3E%20first%20plate%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A06%22%3E%3CSPAN%20data-m%3D%221326960%22%20data-d%3D%22279%22%3E%20where%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221327280%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221327480%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221327720%22%20data-d%3D%22480%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221328360%22%20data-d%3D%22320%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221328720%22%20data-d%3D%22559%22%3Esample%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221329400%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221329640%22%20data-d%3D%22319%22%3E%20second%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221330040%22%20data-d%3D%22720%22%3E%20sample.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A11%22%3E%3CSPAN%20data-m%3D%221331480%22%20data-d%3D%22279%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221331840%22%20data-d%3D%22360%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221332280%22%20data-d%3D%22519%22%3E%20sample%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221332880%22%20data-d%3D%22239%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221333120%22%20data-d%3D%22200%22%3Ehave%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221333360%22%20data-d%3D%22240%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221333640%22%20data-d%3D%22199%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221333880%22%20data-d%3D%22239%22%3E%20ball%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221334160%22%20data-d%3D%22319%22%3E%20test%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221334560%22%20data-d%3D%22240%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221334840%22%20data-d%3D%22440%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221335360%22%20data-d%3D%22160%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221335560%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221335760%22%20data-d%3D%22480%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221336320%22%20data-d%3D%22519%22%3E%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A17%22%3E%3CSPAN%20data-m%3D%221337000%22%20data-d%3D%22279%22%3Eone%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221337320%22%20data-d%3D%22400%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221337760%22%20data-d%3D%22200%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221338000%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221338200%22%20data-d%3D%22480%22%3E%20center%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221339280%22%20data-d%3D%22480%22%3E%20and%20one%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221339840%22%20data-d%3D%22279%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221340200%22%20data-d%3D%22119%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221340360%22%20data-d%3D%2280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221340480%22%20data-d%3D%22240%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221340760%22%20data-d%3D%22720%22%3E%20side.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A21%22%3E%3CSPAN%20data-m%3D%221341680%22%20data-d%3D%22279%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221341960%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221342160%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221342360%22%20data-d%3D%22280%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221343520%22%20data-d%3D%22880%22%3E%20for%20the%20second%20piece%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221344560%22%20data-d%3D%22320%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221344920%22%20data-d%3D%22759%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A25%22%3E%3CSPAN%20data-m%3D%221345880%22%20data-d%3D%22319%22%3EWhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221346200%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221346400%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221346560%22%20data-d%3D%22320%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221346960%22%20data-d%3D%22599%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221347960%22%20data-d%3D%22359%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221348360%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221349320%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221349680%22%20data-d%3D%22879%22%3E%20resistance%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A33%22%3E%3CSPAN%20data-m%3D%221353080%22%20data-d%3D%22400%22%3Egoes%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221353560%22%20data-d%3D%22600%22%3E%20through%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221354520%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221354880%22%20data-d%3D%22319%22%3E%20following%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221355240%22%20data-d%3D%22759%22%3E%20rates%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221356400%22%20data-d%3D%22439%22%3E%20so%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221356880%22%20data-d%3D%22319%22%3E%20nine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221357240%22%20data-d%3D%22279%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221357560%22%20data-d%3D%221320%22%3E%2010.4%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221359080%22%20data-d%3D%22880%22%3E%20tons.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A41%22%3E%3CSPAN%20data-m%3D%221361560%22%20data-d%3D%22559%22%3ENothing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221362240%22%20data-d%3D%22400%22%3E%20really%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221362720%22%20data-d%3D%22599%22%3E%20particular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221364080%22%20data-d%3D%22320%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221364440%22%20data-d%3D%22319%22%3E%20see%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221365640%22%20data-d%3D%22439%22%3E%20except%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221366120%22%20data-d%3D%22360%22%3E%20maybe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221366560%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A47%22%3E%3CSPAN%20data-m%3D%221367960%22%20data-d%3D%22399%22%3Ehere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221368440%22%20data-d%3D%22119%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221368600%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221368760%22%20data-d%3D%22480%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221369320%22%20data-d%3D%22279%22%3E%20side%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221369680%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221369880%22%20data-d%3D%22119%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221370040%22%20data-d%3D%22120%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221370200%22%20data-d%3D%22159%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221370400%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221370760%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221370960%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221371160%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221371440%22%20data-d%3D%22240%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221371720%22%20data-d%3D%22559%22%3E%20side%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A52%22%3E%3CSPAN%20data-m%3D%221372440%22%20data-d%3D%22359%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221372880%22%20data-d%3D%22519%22%3E%20external%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221373480%22%20data-d%3D%22359%22%3Evalue.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A53%22%3E%3CSPAN%20data-m%3D%221373920%22%20data-d%3D%22279%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221374240%22%20data-d%3D%22599%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221375280%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221375680%22%20data-d%3D%22439%22%3E%20lowest%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221376200%22%20data-d%3D%22599%22%3E%20value%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221376960%22%20data-d%3D%22319%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221377320%22%20data-d%3D%22200%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221377560%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221377760%22%20data-d%3D%22160%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221377920%22%20data-d%3D%22559%22%3E%20maximum%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221378560%22%20data-d%3D%22360%22%3E%20value%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A22%3A59%22%3E%3CSPAN%20data-m%3D%221379000%22%20data-d%3D%22440%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221379520%22%20data-d%3D%22680%22%3E%20maybe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221381960%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221382200%22%20data-d%3D%22159%22%3Ewill%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221382360%22%20data-d%3D%22160%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221382560%22%20data-d%3D%22559%22%3E%20something%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221383880%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221384240%22%20data-d%3D%22160%22%3E%20look%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221384400%22%20data-d%3D%22199%22%3E%20at%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A05%22%3E%3CSPAN%20data-m%3D%221385200%22%20data-d%3D%22159%22%3Ebut%20we%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221385400%22%20data-d%3D%22199%22%3E%20come%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221385600%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221385800%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221386120%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221386280%22%20data-d%3D%22200%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221386560%22%20data-d%3D%22160%22%3E%20bit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221386760%22%20data-d%3D%22559%22%3E%20later.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A10%22%3E%3CSPAN%20data-m%3D%221390360%22%20data-d%3D%22360%22%3EOur%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221390760%22%20data-d%3D%22440%22%3E%20target%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221391280%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221391480%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221391680%22%20data-d%3D%22559%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221392680%22%20data-d%3D%22399%22%3Ean%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221393640%22%20data-d%3D%2299%22%3EANOVA%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221393720%22%20data-d%3D%22160%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221393920%22%20data-d%3D%22240%22%3E%20order%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A18%22%3E%3CSPAN%20data-m%3D%221398560%22%20data-d%3D%22600%22%3Eto%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221399280%22%20data-d%3D%22279%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221399600%22%20data-d%3D%22360%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221400040%22%20data-d%3D%22279%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221400400%22%20data-d%3D%22399%22%3E%20plates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221400880%22%20data-d%3D%22239%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221401120%22%20data-d%3D%22160%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221401320%22%20data-d%3D%22600%22%3E%20considered%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221402000%22%20data-d%3D%22440%22%3Eas%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221402560%22%20data-d%3D%22880%22%3Ecomparable.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A23%22%3E%3CSPAN%20data-m%3D%221403840%22%20data-d%3D%22720%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221404720%22%20data-d%3D%22359%22%3E%20before%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221405120%22%20data-d%3D%22240%22%3E%20doing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221405440%22%20data-d%3D%22200%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221406160%22%20data-d%3D%2299%22%3EANOVA%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A26%22%3E%3CSPAN%20data-m%3D%221406440%22%20data-d%3D%22159%22%3E%20we%20need%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221406640%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221406840%22%20data-d%3D%22320%22%3E%20ensure%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221407240%22%20data-d%3D%22599%22%3E%20that%20our%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221409800%22%20data-d%3D%22240%22%3Efollow%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221410120%22%20data-d%3D%2280%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221410200%22%20data-d%3D%22359%22%3E%20normal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221410600%22%20data-d%3D%22800%22%3E%20distribution%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A31%22%3E%3CSPAN%20data-m%3D%221411560%22%20data-d%3D%22360%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221411960%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221412200%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221412520%22%20data-d%3D%22640%22%3E%20variances%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221413240%22%20data-d%3D%22240%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221413480%22%20data-d%3D%22200%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221413720%22%20data-d%3D%22440%22%3E%20considered%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221414200%22%20data-d%3D%22240%22%3Eas%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221414480%22%20data-d%3D%22359%22%3E%20equal%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A34%22%3E%3CSPAN%20data-m%3D%221414920%22%20data-d%3D%22159%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221415120%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221415280%22%20data-d%3D%22319%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221415680%22%20data-d%3D%22200%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221415880%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221416040%22%20data-d%3D%2279%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221416160%22%20data-d%3D%22159%22%3E%20going%20to%20do%20right%20now.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A38%22%3E%3CSPAN%20data-m%3D%221418360%22%20data-d%3D%22440%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221418880%22%20data-d%3D%22239%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221419120%22%20data-d%3D%22280%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221419440%22%20data-d%3D%22720%22%3E%20distribution%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221420240%22%20data-d%3D%22279%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221420560%22%20data-d%3D%22240%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221420840%22%20data-d%3D%22240%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221421160%22%20data-d%3D%22359%22%3E%201%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221421640%22%20data-d%3D%22240%22%3Efor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221421920%22%20data-d%3D%22240%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221422240%22%20data-d%3D%22200%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221422480%22%20data-d%3D%22559%22%3E%202.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A43%22%3E%3CSPAN%20data-m%3D%221423200%22%20data-d%3D%22359%22%3EOkay%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221423600%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221423800%22%20data-d%3D%22160%22%3E%20know%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221424000%22%20data-d%3D%22519%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221424680%22%20data-d%3D%22319%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221425000%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221425160%22%20data-d%3D%22159%22%3Enot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221425360%22%20data-d%3D%22600%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221426680%22%20data-d%3D%22319%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221427000%22%20data-d%3D%22160%22%3E%20lot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221427160%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221427360%22%20data-d%3D%22360%22%3E%20data%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A47%22%3E%3CSPAN%20data-m%3D%221427800%22%20data-d%3D%22759%22%3Ebut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221428760%22%20data-d%3D%22359%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221429200%22%20data-d%3D%22319%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221429600%22%20data-d%3D%22320%22%3Econsider%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221430000%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221430240%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221430360%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221430520%22%20data-d%3D%22240%22%3E%20enough%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221430800%22%20data-d%3D%22600%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221432320%22%20data-d%3D%22840%22%3Eperform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221433360%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221433760%22%20data-d%3D%22599%22%3E%20test.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A23%3A55%22%3E%3CSPAN%20data-m%3D%221435200%22%20data-d%3D%22119%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221435360%22%20data-d%3D%22120%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221435520%22%20data-d%3D%22160%22%3E%20look%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221435680%22%20data-d%3D%22159%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221435880%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221436040%22%20data-d%3D%22319%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221436440%22%20data-d%3D%221159%22%3E%20Anderson-Darling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221437720%22%20data-d%3D%22759%22%3E%20coefficients%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221438560%22%20data-d%3D%22400%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A01%22%3E%3CSPAN%20data-m%3D%221441200%22%20data-d%3D%22359%22%3EWhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221441560%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221441720%22%20data-d%3D%22799%22%3E%20p-value%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221442640%22%20data-d%3D%22359%22%3E%20tells%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221443000%22%20data-d%3D%22200%22%3E%20us%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221443240%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221443440%22%20data-d%3D%22359%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221444480%22%20data-d%3D%22359%22%3E%20we%20cannot%20reject%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221444880%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221445240%22%20data-d%3D%221119%22%3E%20hypothesis%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A07%22%3E%3CSPAN%20data-m%3D%221447280%22%20data-d%3D%22319%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221447640%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221447800%22%20data-d%3D%22160%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221448000%22%20data-d%3D%22279%22%3E%20plates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221448320%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221448560%22%20data-d%3D%22200%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221448760%22%20data-d%3D%22799%22%3E%20comparable%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221449720%22%20data-d%3D%22319%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221450080%22%20data-d%3D%221480%22%3E%20that's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221451560%22%20data-d%3D%22559%22%3E%20good.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A12%22%3E%3CSPAN%20data-m%3D%221452960%22%20data-d%3D%22279%22%3EThen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221453320%22%20data-d%3D%22960%22%3E%20concerning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221455440%22%20data-d%3D%22319%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221455800%22%20data-d%3D%22799%22%3E%20variances%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221459200%22%20data-d%3D%22480%22%3E%20so%20here%20we%20use%20another%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221459760%22%20data-d%3D%22400%22%3E%20platform%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A20%22%3E%3CSPAN%20data-m%3D%221460240%22%20data-d%3D%22319%22%3Ebut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221460600%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221461040%22%20data-d%3D%22360%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221461480%22%20data-d%3D%22240%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221461760%22%20data-d%3D%22160%22%3Eat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221461920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221462120%22%20data-d%3D%22600%22%3E%20end%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221462920%22%20data-d%3D%22319%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221463280%22%20data-d%3D%22360%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221463760%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221464000%22%20data-d%3D%22759%22%3E%20variance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221465080%22%20data-d%3D%22880%22%3Eanalysis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221466040%22%20data-d%3D%22600%22%3E%20here%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A26%22%3E%3CSPAN%20data-m%3D%221466760%22%20data-d%3D%22319%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221467120%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221467320%22%20data-d%3D%22600%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221468120%22%20data-d%3D%22360%22%3E%20look%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221468560%22%20data-d%3D%22120%22%3Eat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221468720%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221469120%22%20data-d%3D%22920%22%3E%20F%20Test%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221470200%22%20data-d%3D%22359%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221470600%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221470840%22%20data-d%3D%22560%22%3E%20F%20Test%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221471480%22%20data-d%3D%22279%22%3E%20tell%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221471840%22%20data-d%3D%22600%22%3E%20us%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A33%22%3E%3CSPAN%20data-m%3D%221473360%22%20data-d%3D%22680%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221474160%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221474440%22%20data-d%3D%22240%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221474720%22%20data-d%3D%22599%22%3E%20consider%20as%20our%20variance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221477120%22%20data-d%3D%22280%22%3Eare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221477440%22%20data-d%3D%22679%22%3E%20equal.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A39%22%3E%3CSPAN%20data-m%3D%221479080%22%20data-d%3D%22279%22%3EAs%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221479400%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221479720%22%20data-d%3D%22359%22%3Edata%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221480160%22%20data-d%3D%22199%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221480400%22%20data-d%3D%22279%22%3E%20normally%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221480720%22%20data-d%3D%22240%22%3E%20distributed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221482240%22%20data-d%3D%22200%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221482480%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221482760%22%20data-d%3D%22400%22%3E%20variant%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221483200%22%20data-d%3D%22519%22%3Earticle%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A43%22%3E%3CSPAN%20data-m%3D%221483840%22%20data-d%3D%22240%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221484120%22%20data-d%3D%22240%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221484440%22%20data-d%3D%22599%22%3E%20apply%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221485560%22%20data-d%3D%221000%22%3E%20safely%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221487280%22%20data-d%3D%22759%22%3E%20our%20ANOVA.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A50%22%3E%3CSPAN%20data-m%3D%221490560%22%20data-d%3D%22360%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221490920%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221491120%22%20data-d%3D%22160%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221491320%22%20data-d%3D%22600%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221492120%22%20data-d%3D%22480%22%3E%20mentioned%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221492680%22%20data-d%3D%22639%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A55%22%3E%3CSPAN%20data-m%3D%221495440%22%20data-d%3D%22200%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221495640%22%20data-d%3D%22359%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221496080%22%20data-d%3D%22320%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221496440%22%20data-d%3D%22440%22%3E%20part%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221497000%22%20data-d%3D%22279%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221497320%22%20data-d%3D%22440%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221497880%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221498200%22%20data-d%3D%22559%22%3E%20drawing.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A24%3A58%22%3E%3CSPAN%20data-m%3D%221498840%22%20data-d%3D%22200%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221499080%22%20data-d%3D%22160%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221499240%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221499520%22%20data-d%3D%22720%22%3E%20associated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221500320%22%20data-d%3D%22320%22%3E%20data.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A00%22%3E%3CSPAN%20data-m%3D%221500960%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221501120%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221501280%22%20data-d%3D%22200%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221501520%22%20data-d%3D%22319%22%3E%20focus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221501920%22%20data-d%3D%22559%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221502600%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221502920%22%20data-d%3D%22439%22%3E%20data.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A03%22%3E%3CSPAN%20data-m%3D%221503480%22%20data-d%3D%22240%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221503760%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221503960%22%20data-d%3D%22240%22%3E%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221504280%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221504440%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221504600%22%20data-d%3D%22160%22%3E%20look%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221504800%22%20data-d%3D%22559%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221505480%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221505800%22%20data-d%3D%22680%22%3E%20pictures.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A07%22%3E%3CSPAN%20data-m%3D%221507240%22%20data-d%3D%22440%22%3EHere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221507800%22%20data-d%3D%22240%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221508080%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221508240%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221508480%22%20data-d%3D%22279%22%3E%20see%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A08%22%3E%3CSPAN%20data-m%3D%221508800%22%20data-d%3D%22200%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221509040%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221509600%22%20data-d%3D%22600%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221511960%22%20data-d%3D%22799%22%3E%20extremities%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221512840%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221513040%22%20data-d%3D%22600%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221514440%22%20data-d%3D%22319%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221514800%22%20data-d%3D%22960%22%3E%20diamonds%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221515920%22%20data-d%3D%22960%22%3E%20overlap.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A19%22%3E%3CSPAN%20data-m%3D%221519520%22%20data-d%3D%22360%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221519920%22%20data-d%3D%22399%22%3E%20cannot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221520400%22%20data-d%3D%22480%22%3E%20reject%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221521000%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221521320%22%20data-d%3D%22799%22%3E%20hypothesis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221522200%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221522440%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221522760%22%20data-d%3D%22160%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221522960%22%20data-d%3D%22319%22%3E%20plates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221523360%22%20data-d%3D%22360%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221523800%22%20data-d%3D%22640%22%3E%20different%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A25%22%3E%3CSPAN%20data-m%3D%221525720%22%20data-d%3D%22319%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221526080%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221526240%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221526440%22%20data-d%3D%22159%22%3E%20good.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A29%22%3E%3CSPAN%20data-m%3D%221529600%22%20data-d%3D%22280%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221529920%22%20data-d%3D%22119%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221530080%22%20data-d%3D%22160%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221530280%22%20data-d%3D%22200%22%3E%20reach%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221530520%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221530720%22%20data-d%3D%22519%22%3E%20conclusion%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221531280%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221531560%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221531840%22%20data-d%3D%22200%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221532040%22%20data-d%3D%22360%22%3E%20plates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221532440%22%20data-d%3D%22599%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221533240%22%20data-d%3D%221000%22%3E%20equivalent.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A34%22%3E%3CSPAN%20data-m%3D%221534360%22%20data-d%3D%22320%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221534680%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221534880%22%20data-d%3D%22239%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221535200%22%20data-d%3D%22639%22%3E%20aggregate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221535920%22%20data-d%3D%22199%22%3Eall%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221536120%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221536320%22%20data-d%3D%22480%22%3E%20data.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A36%22%3E%3CSPAN%20data-m%3D%221536920%22%20data-d%3D%22279%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221537200%22%20data-d%3D%22240%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221537480%22%20data-d%3D%22160%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221537640%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221537840%22%20data-d%3D%22600%22%3E%20done%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221539240%22%20data-d%3D%22440%22%3Ehere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221539760%22%20data-d%3D%22200%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221539960%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221540160%22%20data-d%3D%22679%22%3E%20distribution.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A41%22%3E%3CSPAN%20data-m%3D%221541160%22%20data-d%3D%22159%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221541360%22%20data-d%3D%22200%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221541640%22%20data-d%3D%22159%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221541840%22%20data-d%3D%22200%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221542120%22%20data-d%3D%22280%22%3E%20data%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221542440%22%20data-d%3D%22480%22%3E%20together%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A43%22%3E%3CSPAN%20data-m%3D%221543040%22%20data-d%3D%22279%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221543360%22%20data-d%3D%22680%22%3E%20finally%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221544240%22%20data-d%3D%22359%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221544640%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221544840%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221545000%22%20data-d%3D%22759%22%3E%20global%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221546080%22%20data-d%3D%22800%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221546960%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221547160%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221547400%22%20data-d%3D%22519%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221547960%22%20data-d%3D%22639%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221549680%22%20data-d%3D%221200%22%3E9.76%20tons%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A25%3A52%22%3E%3CSPAN%20data-m%3D%221552960%22%20data-d%3D%22399%22%3Eplus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221553440%22%20data-d%3D%22200%22%3E%20or%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221553680%22%20data-d%3D%22439%22%3E%20minus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221554800%22%20data-d%3D%22240%22%3E0.17%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221555040%22%20data-d%3D%22200%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221555240%22%20data-d%3D%221319%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221556560%22%20data-d%3D%22600%22%3E%20standard%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221557320%22%20data-d%3D%22960%22%3E%20deviations.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A00%22%3E%3CSPAN%20data-m%3D%221560360%22%20data-d%3D%22160%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221560520%22%20data-d%3D%22559%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221561240%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221561560%22%20data-d%3D%22200%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221561840%22%20data-d%3D%22240%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221562120%22%20data-d%3D%22200%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221562360%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221562560%22%20data-d%3D%22160%22%3E%20will%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221562960%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221563200%22%20data-d%3D%22480%22%3E%20information%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221563800%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221564040%22%20data-d%3D%22160%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221564240%22%20data-d%3D%22200%22%3E%20bit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221564480%22%20data-d%3D%22639%22%3E%20later.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A05%22%3E%3CSPAN%20data-m%3D%221565280%22%20data-d%3D%22680%22%3EAnother%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221566120%22%20data-d%3D%22680%22%3E%20interesting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221567600%22%20data-d%3D%22759%22%3E%20thing%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A09%22%3E%3CSPAN%20data-m%3D%221569880%22%20data-d%3D%22399%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221570360%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221570560%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221570760%22%20data-d%3D%22200%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221570960%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221571200%22%20data-d%3D%22599%22%3E%20mentioned%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221572640%22%20data-d%3D%22759%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A13%22%3E%3CSPAN%20data-m%3D%221573720%22%20data-d%3D%22359%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221574080%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221574280%22%20data-d%3D%22240%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221574600%22%20data-d%3D%22280%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221574960%22%20data-d%3D%22599%22%3E%20the%20ANOVA%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221576080%22%20data-d%3D%22440%22%3E%20taking%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221576560%22%20data-d%3D%22320%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221576920%22%20data-d%3D%22279%22%3E%20account%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221577240%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221577480%22%20data-d%3D%22559%22%3E%20position.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A20%22%3E%3CSPAN%20data-m%3D%221580280%22%20data-d%3D%22319%22%3E%20And%20this%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221580640%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221580800%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221581000%22%20data-d%3D%22480%22%3E%20previously%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221581560%22%20data-d%3D%22960%22%3E%20observed%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A22%22%3E%3CSPAN%20data-m%3D%221582920%22%20data-d%3D%22319%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221583280%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221583440%22%20data-d%3D%22159%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221583640%22%20data-d%3D%22519%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221584320%22%20data-d%3D%22320%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221584680%22%20data-d%3D%22279%22%3E%20run%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221585040%22%20data-d%3D%22600%22%3E%20variation%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221585720%22%20data-d%3D%22200%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221585920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221586120%22%20data-d%3D%22520%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221586720%22%20data-d%3D%22279%22%3E%20side%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A27%22%3E%3CSPAN%20data-m%3D%221587080%22%20data-d%3D%22200%22%3Eis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221587280%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221587480%22%20data-d%3D%22240%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221587800%22%20data-d%3D%22200%22%3E%20bit%20higher%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A28%22%3E%3CSPAN%20data-m%3D%221588880%22%20data-d%3D%22479%22%3E%20compared%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221589360%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221589560%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221589760%22%20data-d%3D%22240%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221590080%22%20data-d%3D%22240%22%3E%20side%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221590400%22%20data-d%3D%22159%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221590600%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221590800%22%20data-d%3D%22319%22%3E%20center%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221591200%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221591440%22%20data-d%3D%22200%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221591720%22%20data-d%3D%22639%22%3E%20plate.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A34%22%3E%3CSPAN%20data-m%3D%221594200%22%20data-d%3D%22319%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221594560%22%20data-d%3D%22160%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221594760%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221595000%22%20data-d%3D%22440%22%3E%20understand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221595560%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221595760%22%20data-d%3D%22200%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221596040%22%20data-d%3D%22640%22%3E%20bit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221596840%22%20data-d%3D%22480%22%3E%20why%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221597400%22%20data-d%3D%22279%22%3Esuch%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221597760%22%20data-d%3D%22279%22%3E%20things%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221598120%22%20data-d%3D%22600%22%3E%20happen.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A40%22%3E%3CSPAN%20data-m%3D%221600000%22%20data-d%3D%22160%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221600200%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221600360%22%20data-d%3D%22400%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221600880%22%20data-d%3D%22239%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221601160%22%20data-d%3D%22159%22%3Ewill%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221601320%22%20data-d%3D%22160%22%3E%20come%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221601520%22%20data-d%3D%22440%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221602080%22%20data-d%3D%22320%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221602440%22%20data-d%3D%22200%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221602680%22%20data-d%3D%22960%22%3E%20presentation%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A44%22%3E%3CSPAN%20data-m%3D%221604280%22%20data-d%3D%22319%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221604640%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221604800%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221604960%22%20data-d%3D%2279%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221605080%22%20data-d%3D%22240%22%3E%20look%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221605360%22%20data-d%3D%22160%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221605560%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221605760%22%20data-d%3D%22720%22%3E%20plate.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A47%22%3E%3CSPAN%20data-m%3D%221607560%22%20data-d%3D%22320%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221607880%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221608040%22%20data-d%3D%22400%22%3E%20studying%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221608480%22%20data-d%3D%22160%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221608680%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221608840%22%20data-d%3D%22560%22%3E%20moment.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A50%22%3E%3CSPAN%20data-m%3D%221610720%22%20data-d%3D%22240%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221611000%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221611160%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221611360%22%20data-d%3D%22520%22%3E%20appearance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221611960%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221612240%22%20data-d%3D%22599%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221613280%22%20data-d%3D%22440%22%3E%20sheet%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221613720%22%20data-d%3D%22720%22%3E%20metal.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A26%3A56%22%3E%3CSPAN%20data-m%3D%221616200%22%20data-d%3D%22159%22%3EWhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221616400%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221616560%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221616800%22%20data-d%3D%22360%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221617480%22%20data-d%3D%22160%22%3E%20is%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221618360%22%20data-d%3D%22280%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221618680%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221618840%22%20data-d%3D%22279%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221619160%22%20data-d%3D%22399%22%3E%20side%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221619640%22%20data-d%3D%22639%22%3E%20here%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A01%22%3E%3CSPAN%20data-m%3D%221621320%22%20data-d%3D%22320%22%3Eour%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221621680%22%20data-d%3D%22240%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221621960%22%20data-d%3D%22599%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221623040%22%20data-d%3D%22559%22%3E%20nearly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221623680%22%20data-d%3D%22480%22%3E%20flat%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221624280%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221624560%22%20data-d%3D%22160%22%3E%20would%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221624720%22%20data-d%3D%22559%22%3E%20say.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A05%22%3E%3CSPAN%20data-m%3D%221625440%22%20data-d%3D%22440%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221625960%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221626120%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221626280%22%20data-d%3D%22880%22%3E%20contrary%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A07%22%3E%3CSPAN%20data-m%3D%221627560%22%20data-d%3D%22279%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221627880%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221628040%22%20data-d%3D%22440%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221628520%22%20data-d%3D%22400%22%3E%20side%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221629000%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221629320%22%20data-d%3D%22640%22%3E%20clearly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221630080%22%20data-d%3D%22360%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221630520%22%20data-d%3D%22480%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221631120%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221631400%22%20data-d%3D%22319%22%3E%20plates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221631800%22%20data-d%3D%22600%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221633360%22%20data-d%3D%22480%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221633920%22%20data-d%3D%22639%22%3E%20waves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A16%22%3E%3CSPAN%20data-m%3D%221636760%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221637080%22%20data-d%3D%22120%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221637240%22%20data-d%3D%22240%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221637520%22%20data-d%3D%22400%22%3E%20know%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221638000%22%20data-d%3D%22519%22%3E%20exactly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221638680%22%20data-d%3D%22240%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221638960%22%20data-d%3D%22119%22%3E%20is%20the%20history%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A19%22%3E%3CSPAN%20data-m%3D%221639760%22%20data-d%3D%22240%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221640040%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221640240%22%20data-d%3D%22440%22%3E%20material%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221641440%22%20data-d%3D%22359%22%3E%20but%20we%20can%20clearly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221641840%22%20data-d%3D%22519%22%3E%20imagine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221642440%22%20data-d%3D%22639%22%3E%20that%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A25%22%3E%3CSPAN%20data-m%3D%221645360%22%20data-d%3D%22320%22%3Ethere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221645720%22%20data-d%3D%22240%22%3E%20was%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221646040%22%20data-d%3D%22240%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221646360%22%20data-d%3D%22440%22%3E%20trouble%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221646880%22%20data-d%3D%22199%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221647120%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221647280%22%20data-d%3D%22319%22%3E%20rolling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221647680%22%20data-d%3D%22279%22%3E%20m%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221648000%22%20data-d%3D%22160%22%3Eill%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221648200%22%20data-d%3D%22159%22%3E%20or%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221648400%22%20data-d%3D%22279%22%3E%20plate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221648680%22%20data-d%3D%22960%22%3E%20leveller%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A31%22%3E%3CSPAN%20data-m%3D%221651480%22%20data-d%3D%22359%22%3Eand%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221651880%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221652120%22%20data-d%3D%22280%22%3E%20higher%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221652440%22%20data-d%3D%22399%22%3E%20force%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221652880%22%20data-d%3D%22199%22%3E%20has%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221653080%22%20data-d%3D%22200%22%3E%20been%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221653320%22%20data-d%3D%22480%22%3E%20applied%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221653880%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221654080%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221654240%22%20data-d%3D%22480%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221654800%22%20data-d%3D%22680%22%3E%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A35%22%3E%3CSPAN%20data-m%3D%221655640%22%20data-d%3D%22519%22%3Eleading%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221656240%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221656440%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221656680%22%20data-d%3D%22200%22%3E%20kind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221656920%22%20data-d%3D%22399%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221657440%22%20data-d%3D%221000%22%3E%20periodic%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221659880%22%20data-d%3D%22759%22%3E%20modification%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221661440%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221661760%22%20data-d%3D%22839%22%3E%20resistance.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A43%22%3E%3CSPAN%20data-m%3D%221663400%22%20data-d%3D%22359%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221663760%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221663920%22%20data-d%3D%2279%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221664040%22%20data-d%3D%22120%22%3E%20new%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221664200%22%20data-d%3D%22599%22%3E%20constraint%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221665240%22%20data-d%3D%22200%22%3E%20because%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221665480%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221665680%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221665880%22%20data-d%3D%22159%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221666080%22%20data-d%3D%22240%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221666400%22%20data-d%3D%22599%22%3E%20account%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A49%22%3E%3CSPAN%20data-m%3D%221669120%22%20data-d%3D%22320%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221669480%22%20data-d%3D%22160%22%3E%20new%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221669680%22%20data-d%3D%22480%22%3E%20information%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221670840%22%20data-d%3D%22279%22%3E%20in%20our%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221671160%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221671400%22%20data-d%3D%22879%22%3E%20experiment.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A27%3A56%22%3E%3CSPAN%20data-m%3D%221676840%22%20data-d%3D%22279%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221677160%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221677400%22%20data-d%3D%22240%22%3E%20sum%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221677640%22%20data-d%3D%22519%22%3E%20up%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221678280%22%20data-d%3D%22240%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221678520%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221678720%22%20data-d%3D%22519%22%3E%20information%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221679360%22%20data-d%3D%22280%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221679680%22%20data-d%3D%22399%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221680160%22%20data-d%3D%22439%22%3E%20before%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221680680%22%20data-d%3D%22319%22%3E%20building%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221681040%22%20data-d%3D%22279%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221681360%22%20data-d%3D%22240%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221681680%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221681880%22%20data-d%3D%22799%22%3E%20experiment.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A02%22%3E%3CSPAN%20data-m%3D%221682880%22%20data-d%3D%22359%22%3EFirst%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221683280%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221683440%22%20data-d%3D%22200%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221683720%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221683920%22%20data-d%3D%22279%22%3E%20remind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221684240%22%20data-d%3D%22200%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221684960%22%20data-d%3D%22240%22%3E%20that%20we%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221685280%22%20data-d%3D%22160%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221685480%22%20data-d%3D%22319%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221685880%22%20data-d%3D%22599%22%3E%20irregular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221686560%22%20data-d%3D%22400%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221687040%22%20data-d%3D%22640%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A09%22%3E%3CSPAN%20data-m%3D%221689320%22%20data-d%3D%22279%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221689640%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221689800%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221689920%22%20data-d%3D%22240%22%3E%20black%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221690240%22%20data-d%3D%22480%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221690840%22%20data-d%3D%22279%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221691160%22%20data-d%3D%22240%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221691440%22%20data-d%3D%22559%22%3E%20mentioned%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221692120%22%20data-d%3D%22720%22%3E%20here%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A14%22%3E%3CSPAN%20data-m%3D%221694240%22%20data-d%3D%22279%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221694560%22%20data-d%3D%2280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221694680%22%20data-d%3D%22720%22%3E%20drawing.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A15%22%3E%3CSPAN%20data-m%3D%221695960%22%20data-d%3D%22359%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221696320%22%20data-d%3D%22600%22%3E%20traditional%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221697080%22%20data-d%3D%22680%22%3E%20way%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A18%22%3E%3CSPAN%20data-m%3D%221698920%22%20data-d%3D%22319%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221699280%22%20data-d%3D%22200%22%3E%20deal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221699560%22%20data-d%3D%22240%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221699840%22%20data-d%3D%22320%22%3E%20such%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221700240%22%20data-d%3D%22359%22%3E%20things%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221700680%22%20data-d%3D%22200%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221700920%22%20data-d%3D%22480%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221701720%22%20data-d%3D%22119%22%3E%20would%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221701880%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221702080%22%20data-d%3D%22160%22%3E%20fill%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221702280%22%20data-d%3D%22200%22%3E%20up%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221702560%22%20data-d%3D%22360%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221703000%22%20data-d%3D%22440%22%3E%20linear%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221703480%22%20data-d%3D%22879%22%3E%20constraint.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A24%22%3E%3CSPAN%20data-m%3D%221704480%22%20data-d%3D%22440%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221705000%22%20data-d%3D%22200%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221705240%22%20data-d%3D%22160%22%3E%20due%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221705400%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221705600%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221705840%22%20data-d%3D%22800%22%3E%20shape%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221708680%22%20data-d%3D%22359%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221709040%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221709280%22%20data-d%3D%22360%22%3E%20area%2C%20it's%20a%20little%20bit%20difficult.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A32%22%3E%3CSPAN%20data-m%3D%221712200%22%20data-d%3D%22720%22%3EInstead%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221713240%22%20data-d%3D%22400%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221713720%22%20data-d%3D%22359%22%3Eprefer%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221714160%22%20data-d%3D%22279%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221714480%22%20data-d%3D%22599%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221715400%22%20data-d%3D%22359%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221716400%22%20data-d%3D%22439%22%3ECandidate%20Points%20technique%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A38%22%3E%3CSPAN%20data-m%3D%221718000%22%20data-d%3D%22279%22%3Ewhich%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221718320%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221718560%22%20data-d%3D%22480%22%3E%20called%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221719160%22%20data-d%3D%22359%22%3Ealso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221719560%22%20data-d%3D%221039%22%3E%20Covariates%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221721000%22%20data-d%3D%22759%22%3E%20engine.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A44%22%3E%3CSPAN%20data-m%3D%221724000%22%20data-d%3D%22400%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221724440%22%20data-d%3D%22359%22%3E%20remind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221724840%22%20data-d%3D%22279%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221725160%22%20data-d%3D%22279%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221725520%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221725720%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221725960%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221726200%22%20data-d%3D%22599%22%3E%20an%20inhomogeneous%20plate%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A49%22%3E%3CSPAN%20data-m%3D%221729640%22%20data-d%3D%22519%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221730280%22%20data-d%3D%22319%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221730680%22%20data-d%3D%22200%22%3E%20deal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221730920%22%20data-d%3D%22599%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221733360%22%20data-d%3D%22320%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221733720%22%20data-d%3D%22680%22%3E%20phenomenon%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221734480%22%20data-d%3D%22200%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221734680%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221734840%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221735040%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221735320%22%20data-d%3D%22759%22%3E%20introduce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221736160%22%20data-d%3D%22439%22%3Ea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221736680%22%20data-d%3D%22319%22%3E%20few%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221737040%22%20data-d%3D%22840%22%3E%20parameters%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A28%3A58%22%3E%3CSPAN%20data-m%3D%221738680%22%20data-d%3D%22359%22%3Einto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221739080%22%20data-d%3D%22240%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221739400%22%20data-d%3D%22240%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221739680%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221739880%22%20data-d%3D%22879%22%3E%20experiment.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A01%22%3E%3CSPAN%20data-m%3D%221741160%22%20data-d%3D%22399%22%3EFirst%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221741600%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221741800%22%20data-d%3D%22279%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221742120%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221742320%22%20data-d%3D%2280%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221742440%22%20data-d%3D%22559%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221743800%22%20data-d%3D%22360%22%3Etake%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221744200%22%20data-d%3D%22200%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221744440%22%20data-d%3D%22519%22%3E%20account%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221745120%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221745360%22%20data-d%3D%22480%22%3E%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221745920%22%20data-d%3D%22839%22%3E%20variation%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221748000%22%20data-d%3D%22279%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221748320%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221748520%22%20data-d%3D%22519%22%3E%20width.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A09%22%3E%3CSPAN%20data-m%3D%221749480%22%20data-d%3D%22119%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221749600%22%20data-d%3D%22160%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221749800%22%20data-d%3D%22160%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221750000%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221750200%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221750440%22%20data-d%3D%221039%22%3Eintroduce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221751680%22%20data-d%3D%22319%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221752000%22%20data-d%3D%22480%22%3E%20categor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221752520%22%20data-d%3D%22200%22%3Eial%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221752760%22%20data-d%3D%22680%22%3E%20parameter%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A13%22%3E%3CSPAN%20data-m%3D%221753560%22%20data-d%3D%22240%22%3Ea%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221754000%22%20data-d%3D%22240%22%3E3%20levels-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221754320%22%20data-d%3D%22440%22%3Ecategorial%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221754800%22%20data-d%3D%22799%22%3Eparameters%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A17%22%3E%3CSPAN%20data-m%3D%221757400%22%20data-d%3D%22359%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221757760%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221757920%22%20data-d%3D%22119%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221758080%22%20data-d%3D%22240%22%3E%20levels%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221758400%22%20data-d%3D%22399%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221758880%22%20data-d%3D%22319%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221759240%22%20data-d%3D%22400%22%3Eside%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221759720%22%20data-d%3D%22559%22%3E%20center%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221760440%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221760720%22%20data-d%3D%22480%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221761280%22%20data-d%3D%22799%22%3E%20sides.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A23%22%3E%3CSPAN%20data-m%3D%221763400%22%20data-d%3D%22319%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221763720%22%20data-d%3D%22240%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221764040%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221764240%22%20data-d%3D%22279%22%3E%20deal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221764560%22%20data-d%3D%22200%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221764800%22%20data-d%3D%22480%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221765400%22%20data-d%3D%22719%22%3E%20periodic%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221766200%22%20data-d%3D%22720%22%3E%20variation%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221767040%22%20data-d%3D%22680%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221767880%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221768240%22%20data-d%3D%22920%22%3E%20resistance%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A29%22%3E%3CSPAN%20data-m%3D%221769840%22%20data-d%3D%22360%22%3Ealong%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221770240%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221770440%22%20data-d%3D%22279%22%3E%20length%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221770760%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221770920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221771120%22%20data-d%3D%22480%22%3E%20plate%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221771680%22%20data-d%3D%22639%22%3E%20well%2C%20this%20is%20a%20little%20bit%20difficult%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A34%22%3E%3CSPAN%20data-m%3D%221774600%22%20data-d%3D%22320%22%3E%20because%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221774960%22%20data-d%3D%22159%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221775120%22%20data-d%3D%22560%22%3Efact%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221776560%22%20data-d%3D%22360%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221776960%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221777160%22%20data-d%3D%22199%22%3Enot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221777440%22%20data-d%3D%22359%22%3E%20control%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221777880%22%20data-d%3D%22239%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221778160%22%20data-d%3D%22839%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A39%22%3E%3CSPAN%20data-m%3D%221779840%22%20data-d%3D%22360%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221780200%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221780400%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221780600%22%20data-d%3D%22600%22%3E%20be%20on%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A43%22%3E%3CSPAN%20data-m%3D%221783680%22%20data-d%3D%221000%22%3Ethis%20variation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A45%22%3E%3CSPAN%20data-m%3D%221785200%22%20data-d%3D%22200%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221785440%22%20data-d%3D%22240%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221785760%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221785960%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221786240%22%20data-d%3D%22920%22%3Eintroduce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221787320%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221787720%22%20data-d%3D%22240%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221788040%22%20data-d%3D%22559%22%3E%20position%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A51%22%3E%3CSPAN%20data-m%3D%221791800%22%20data-d%3D%22360%22%3Efrom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221792200%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221792400%22%20data-d%3D%22240%22%3E%20head%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221792680%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221792880%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221793040%22%20data-d%3D%22440%22%3E%20plate%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221793560%22%20data-d%3D%22200%22%3Eor%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221793800%22%20data-d%3D%22680%22%3E%20millimeter%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A54%22%3E%3CSPAN%20data-m%3D%221794600%22%20data-d%3D%22320%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221794920%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221795120%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221795320%22%20data-d%3D%22480%22%3E%20introduce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221795840%22%20data-d%3D%22160%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221796240%22%20data-d%3D%22200%22%3E%20as%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221796480%22%20data-d%3D%22879%22%3E%20uncontrolled%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221797400%22%20data-d%3D%22919%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A29%3A59%22%3E%3CSPAN%20data-m%3D%221799800%22%20data-d%3D%22240%22%3EFinally%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221800120%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221800320%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221800480%22%20data-d%3D%22160%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221800680%22%20data-d%3D%22759%22%3E%20finished.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A03%22%3E%3CSPAN%20data-m%3D%221803080%22%20data-d%3D%22360%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221803440%22%20data-d%3D%22599%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221804400%22%20data-d%3D%22359%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221804760%22%20data-d%3D%22200%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221805000%22%20data-d%3D%22640%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221805800%22%20data-d%3D%22640%22%3E%20realize%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221806520%22%20data-d%3D%22200%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221806760%22%20data-d%3D%22160%22%3E%20you%20can%20see%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A08%22%3E%3CSPAN%20data-m%3D%221808720%22%20data-d%3D%22279%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221809040%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221809160%22%20data-d%3D%22159%22%3E%20last%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221809360%22%20data-d%3D%22400%22%3E%20picture%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221809840%22%20data-d%3D%22160%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221810000%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221810120%22%20data-d%3D%22560%22%3E%20bottom.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A12%22%3E%3CSPAN%20data-m%3D%221812920%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221813120%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221813280%22%20data-d%3D%22480%22%3E%20typically%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221813880%22%20data-d%3D%22239%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221814160%22%20data-d%3D%22199%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221814360%22%20data-d%3D%22320%22%3E%20picture%20of%20a%20weld%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A15%22%3E%3CSPAN%20data-m%3D%221815560%22%20data-d%3D%22640%22%3Ewhere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221816880%22%20data-d%3D%22359%22%3Eare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221817240%22%20data-d%3D%22400%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221817680%22%20data-d%3D%22319%22%3E%20above%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221818000%22%20data-d%3D%22240%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221818320%22%20data-d%3D%22200%22%3E%20ball%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221818560%22%20data-d%3D%22480%22%3E%20tests.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A19%22%3E%3CSPAN%20data-m%3D%221819200%22%20data-d%3D%22359%22%3EWell%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221819600%22%20data-d%3D%22320%22%3E%20these%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221819960%22%20data-d%3D%22279%22%3Eball%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221820240%22%20data-d%3D%22359%22%3E%20tests%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221820640%22%20data-d%3D%22199%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221820880%22%20data-d%3D%22279%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221821240%22%20data-d%3D%22960%22%3E%20independent.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A22%22%3E%3CSPAN%20data-m%3D%221822320%22%20data-d%3D%22279%22%3EThey%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221822640%22%20data-d%3D%22279%22%3E%20belong%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221822960%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221823200%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221823400%22%20data-d%3D%22279%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221823760%22%20data-d%3D%22359%22%3E%20treatment.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A24%22%3E%3CSPAN%20data-m%3D%221824200%22%20data-d%3D%22159%22%3EThey%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221824400%22%20data-d%3D%22199%22%3E%20belong%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221824680%22%20data-d%3D%22119%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221824840%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221825000%22%20data-d%3D%22240%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221825320%22%20data-d%3D%22480%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A25%22%3E%3CSPAN%20data-m%3D%221825920%22%20data-d%3D%22199%22%3EThey%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221826160%22%20data-d%3D%22159%22%3Eare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221826360%22%20data-d%3D%22160%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221826560%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221826720%22%20data-d%3D%22279%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221827040%22%20data-d%3D%22319%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221827400%22%20data-d%3D%22519%22%3E%20position.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A29%22%3E%3CSPAN%20data-m%3D%221829320%22%20data-d%3D%22440%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221829800%22%20data-d%3D%22640%22%3E%20are%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A31%22%3E%3CSPAN%20data-m%3D%221831760%22%20data-d%3D%22319%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221832080%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221832200%22%20data-d%3D%22319%22%3E%20presence%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221832600%22%20data-d%3D%22120%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221833080%22%20data-d%3D%22560%22%3Esplit%2F%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221833800%22%20data-d%3D%22519%22%3Eplot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221834400%22%20data-d%3D%22679%22%3E%20design%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A35%22%3E%3CSPAN%20data-m%3D%221835280%22%20data-d%3D%22360%22%3Ewhere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221835720%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221836000%22%20data-d%3D%22599%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221837480%22%20data-d%3D%22359%22%3E%20hard%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221837880%22%20data-d%3D%22239%22%3E%20easy-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221838160%22%20data-d%3D%22359%22%3Eto-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221838600%22%20data-d%3D%22600%22%3Echange%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221839320%22%20data-d%3D%22960%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A41%22%3E%3CSPAN%20data-m%3D%221841080%22%20data-d%3D%22160%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221841240%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221841400%22%20data-d%3D%2279%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221841520%22%20data-d%3D%22120%22%3E%20lot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221841680%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221841880%22%20data-d%3D%22479%22%3E%20constraints%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221842400%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221842520%22%20data-d%3D%2279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221842640%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221842800%22%20data-d%3D%22160%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221843000%22%20data-d%3D%22160%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221843200%22%20data-d%3D%22399%22%3E%20account.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A44%22%3E%3CSPAN%20data-m%3D%221844400%22%20data-d%3D%22279%22%3ENow%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221844720%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221844920%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221845080%22%20data-d%3D%22160%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221845280%22%20data-d%3D%22160%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221845480%22%20data-d%3D%22200%22%3E%20how%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221845680%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221845880%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221846040%22%20data-d%3D%22400%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221846560%22%20data-d%3D%22240%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221846840%22%20data-d%3D%22640%22%3E%20JMP.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A50%22%3E%3CSPAN%20data-m%3D%221850960%22%20data-d%3D%22359%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221851360%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221851560%22%20data-d%3D%22200%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221851800%22%20data-d%3D%22600%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221852960%22%20data-d%3D%22359%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221853360%22%20data-d%3D%22200%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221853600%22%20data-d%3D%22280%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221853880%22%20data-d%3D%22439%22%3E%20journal%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221854360%22%20data-d%3D%22200%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221854600%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221854800%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221855000%22%20data-d%3D%22519%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221855680%22%20data-d%3D%22639%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221856440%22%20data-d%3D%22720%22%3E%20step.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A30%3A57%22%3E%3CSPAN%20data-m%3D%221857360%22%20data-d%3D%22480%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221857920%22%20data-d%3D%22199%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221858120%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221858400%22%20data-d%3D%22159%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221858600%22%20data-d%3D%22240%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221858920%22%20data-d%3D%22279%22%3E%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221859280%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221859520%22%20data-d%3D%22599%22%3E%20beginning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221860200%22%20data-d%3D%22319%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221860600%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221860840%22%20data-d%3D%22320%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221861240%22%20data-d%3D%22240%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221861520%22%20data-d%3D%22279%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221861840%22%20data-d%3D%22640%22%3E%20here%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A03%22%3E%3CSPAN%20data-m%3D%221863920%22%20data-d%3D%22679%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221864760%22%20data-d%3D%22400%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221865200%22%20data-d%3D%22680%22%3E%20step.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A06%22%3E%3CSPAN%20data-m%3D%221866960%22%20data-d%3D%22319%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221867320%22%20data-d%3D%22200%22%3E%20come%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221867560%22%20data-d%3D%22600%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221868560%22%20data-d%3D%22320%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221868920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221869080%22%20data-d%3D%22279%22%3E%20file%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221869360%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221869600%22%20data-d%3D%22240%22%3E%20had%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221869920%22%20data-d%3D%22960%22%3E%20previously.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A11%22%3E%3CSPAN%20data-m%3D%221871440%22%20data-d%3D%22319%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221871800%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221872080%22%20data-d%3D%22400%22%3E%20select%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221872600%22%20data-d%3D%22680%22%3E%20here%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A14%22%3E%3CSPAN%20data-m%3D%221874560%22%20data-d%3D%22320%22%3Eall%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221874920%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221875120%22%20data-d%3D%22760%22%3E%20rows%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221876080%22%20data-d%3D%22320%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221876400%22%20data-d%3D%2279%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221876480%22%20data-d%3D%22200%22%3E%20Good%20Weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A18%22%3E%3CSPAN%20data-m%3D%221878800%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221879160%22%20data-d%3D%22319%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221879560%22%20data-d%3D%22480%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221880160%22%20data-d%3D%22679%22%3E%20select%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A22%22%3E%3CSPAN%20data-m%3D%221882040%22%20data-d%3D%22640%22%3Eanother%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221882800%22%20data-d%3D%22400%22%3E%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221883280%22%20data-d%3D%22360%22%3E%20column%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221883680%22%20data-d%3D%22319%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221884760%22%20data-d%3D%22480%22%3Ewelding%20speed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221885320%22%20data-d%3D%22720%22%3E%20column.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A28%22%3E%3CSPAN%20data-m%3D%221888240%22%20data-d%3D%22279%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221888560%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221888760%22%20data-d%3D%22400%22%3E%20table%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221889280%22%20data-d%3D%22360%22%3E%20here%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221889680%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221889920%22%20data-d%3D%22240%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221890240%22%20data-d%3D%22440%22%3Eextract%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221890720%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221890920%22%20data-d%3D%22599%22%3E%20subset%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221891600%22%20data-d%3D%22680%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221894400%22%20data-d%3D%22399%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221894880%22%20data-d%3D%22359%22%3E%20table.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A37%22%3E%3CSPAN%20data-m%3D%221897640%22%20data-d%3D%22359%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221898000%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221898200%22%20data-d%3D%22759%22%3E%20extract%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221899120%22%20data-d%3D%22560%22%3E%20selected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221899720%22%20data-d%3D%22519%22%3E%20line.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A40%22%3E%3CSPAN%20data-m%3D%221900360%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221900640%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221900880%22%20data-d%3D%22399%22%3E%20extract%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221901280%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221901720%22%20data-d%3D%22559%22%3E%20selected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221902360%22%20data-d%3D%22480%22%3E%20column%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221902920%22%20data-d%3D%22639%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A46%22%3E%3CSPAN%20data-m%3D%221906160%22%20data-d%3D%22240%22%3EOkay%2C%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221906440%22%20data-d%3D%22240%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221906760%22%20data-d%3D%22319%22%3E%20build%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221907160%22%20data-d%3D%22240%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221907480%22%20data-d%3D%22559%22%3E%20subset%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221908120%22%20data-d%3D%22360%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221909320%22%20data-d%3D%22600%22%3ECandidate%20Points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A52%22%3E%3CSPAN%20data-m%3D%221912560%22%20data-d%3D%22400%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221913080%22%20data-d%3D%22279%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221913400%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221913600%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221913760%22%20data-d%3D%22400%22%3E%20tricky%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221914240%22%20data-d%3D%22359%22%3E%20thing%20because%2C%20in%20fact%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A31%3A55%22%3E%3CSPAN%20data-m%3D%221916080%22%20data-d%3D%22200%22%3Eas%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221916280%22%20data-d%3D%22120%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221916440%22%20data-d%3D%2279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221916560%22%20data-d%3D%22519%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221917240%22%20data-d%3D%22480%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221917840%22%20data-d%3D%22640%22%3E%20also%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221919840%22%20data-d%3D%22720%22%3E%20I%20need%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221920760%22%20data-d%3D%22359%22%3E%20tell%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221921200%22%20data-d%3D%22319%22%3E%20them%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221921600%22%20data-d%3D%22600%22%3E%20that%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A04%22%3E%3CSPAN%20data-m%3D%221924600%22%20data-d%3D%22320%22%3Eyou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221924920%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221925200%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221925400%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221925680%22%20data-d%3D%22599%22%3E%20possibility%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221926440%22%20data-d%3D%22240%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221926720%22%20data-d%3D%22440%22%3E%20select%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221927280%22%20data-d%3D%22319%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221927640%22%20data-d%3D%22599%22%3E%20times%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221928880%22%20data-d%3D%22399%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221929320%22%20data-d%3D%22560%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A10%22%3E%3CSPAN%20data-m%3D%221930400%22%20data-d%3D%22199%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221930600%22%20data-d%3D%22360%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221931040%22%20data-d%3D%22440%22%3E%20multiply%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221931480%22%20data-d%3D%22240%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221931800%22%20data-d%3D%22360%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221932240%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221932520%22%20data-d%3D%22240%22%3E%20number%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221932800%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221933040%22%20data-d%3D%22279%22%3E%20points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A13%22%3E%3CSPAN%20data-m%3D%221933760%22%20data-d%3D%22160%22%3EThere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221933920%22%20data-d%3D%22519%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221934600%22%20data-d%3D%22720%22%3E%20probably%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221936240%22%20data-d%3D%22319%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221936560%22%20data-d%3D%22160%22%3E%20lot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221936760%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221937000%22%20data-d%3D%22200%22%3E%20way%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221937240%22%20data-d%3D%22279%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221937600%22%20data-d%3D%22200%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221937800%22%20data-d%3D%22640%22%3E%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A18%22%3E%3CSPAN%20data-m%3D%221938600%22%20data-d%3D%22280%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221938920%22%20data-d%3D%22159%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221939120%22%20data-d%3D%22280%22%3E%20case%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221939440%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221939680%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221939880%22%20data-d%3D%22239%22%3E%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221940200%22%20data-d%3D%22399%22%3E%20create%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221940720%22%20data-d%3D%22279%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221941040%22%20data-d%3D%22640%22%3Ecolumns%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A21%22%3E%3CSPAN%20data-m%3D%221941760%22%20data-d%3D%22279%22%3Eone%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221942120%22%20data-d%3D%22160%22%3E%20call%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221942320%22%20data-d%3D%22400%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221942840%22%20data-d%3D%22279%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221943200%22%20data-d%3D%22599%22%3E%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A25%22%3E%3CSPAN%20data-m%3D%221945240%22%20data-d%3D%22400%22%3Eone%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221945720%22%20data-d%3D%22160%22%3E%20call%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221945920%22%20data-d%3D%22559%22%3E%20it%20center%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A27%22%3E%3CSPAN%20data-m%3D%221947930%22%20data-d%3D%221000%22%3Eone%20call%20it%20operator%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A34%22%3E%3CSPAN%20data-m%3D%221954160%22%20data-d%3D%22599%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221954880%22%20data-d%3D%22279%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221955240%22%20data-d%3D%22279%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221955560%22%20data-d%3D%22640%22%3E%20just%20stack%20all%20these%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A39%22%3E%3CSPAN%20data-m%3D%221959480%22%20data-d%3D%22480%22%3Eusing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221960040%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221960320%22%20data-d%3D%22200%22%3E%20three%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221960560%22%20data-d%3D%22840%22%3E%20columns.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A44%22%3E%3CSPAN%20data-m%3D%221964000%22%20data-d%3D%22319%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221964360%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221964560%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221964760%22%20data-d%3D%22359%22%3E%20created%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221965160%22%20data-d%3D%22199%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221965400%22%20data-d%3D%22279%22%3E%20set%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221965760%22%20data-d%3D%22480%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221967280%22%20data-d%3D%22640%22%3ECandidate%20Points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A48%22%3E%3CSPAN%20data-m%3D%221968920%22%20data-d%3D%22279%22%3EWith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221969200%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221969680%22%20data-d%3D%22480%22%3EGraph%20Builder%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221971080%22%20data-d%3D%22360%22%3E%20I%20will%20check%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221971520%22%20data-d%3D%22360%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221971960%22%20data-d%3D%22359%22%3E%20everything%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221972400%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221972600%22%20data-d%3D%22600%22%3E%20okay.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A32%3A54%22%3E%3CSPAN%20data-m%3D%221974040%22%20data-d%3D%22240%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221974320%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221974480%22%20data-d%3D%22200%22%3E%20Y-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221974720%22%20data-d%3D%22440%22%3Eaxis%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221975240%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221975400%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221975560%22%20data-d%3D%22200%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221975800%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221976000%22%20data-d%3D%22279%22%3E%20laser%20power.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221977040%22%20data-d%3D%22319%22%3E%20On%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221977360%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221977560%22%20data-d%3D%22200%22%3E%20X-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221977840%22%20data-d%3D%22360%22%3Eaxis%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221978240%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221978400%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221978600%22%20data-d%3D%22200%22%3Eput%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221978800%22%20data-d%3D%22519%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221979480%22%20data-d%3D%22359%22%3E%20laser%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221979920%22%20data-d%3D%22639%22%3E%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A01%22%3E%3CSPAN%20data-m%3D%221981320%22%20data-d%3D%22560%22%3EHere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221982000%22%20data-d%3D%22240%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221982240%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221982520%22%20data-d%3D%22720%22%3E%20recognize%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221983360%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221983640%22%20data-d%3D%22719%22%3E%20shape%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221984520%22%20data-d%3D%22319%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221984920%22%20data-d%3D%22599%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221985840%22%20data-d%3D%221000%22%3E%20irregular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221987400%22%20data-d%3D%22559%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221988000%22%20data-d%3D%22599%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A09%22%3E%3CSPAN%20data-m%3D%221989000%22%20data-d%3D%22359%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221989360%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221989560%22%20data-d%3D%22279%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221989920%22%20data-d%3D%22480%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221990520%22%20data-d%3D%22680%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221991400%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221991760%22%20data-d%3D%22440%22%3E%20label%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221992280%22%20data-d%3D%22240%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221992600%22%20data-d%3D%22440%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221993160%22%20data-d%3D%22480%22%3E%20color%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221993720%22%20data-d%3D%22799%22%3E%20sections.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A19%22%3E%3CSPAN%20data-m%3D%221999160%22%20data-d%3D%22319%22%3EEach%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221999480%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%221999720%22%20data-d%3D%22240%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222000000%22%20data-d%3D%22279%22%3E%20points%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222000600%22%20data-d%3D%22200%22%3E%20has%20been%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222000840%22%20data-d%3D%22600%22%3E%20multiplied%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222001440%22%20data-d%3D%22319%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222001840%22%20data-d%3D%22320%22%3E%20three.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A22%22%3E%3CSPAN%20data-m%3D%222002440%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222002600%22%20data-d%3D%22240%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222002880%22%20data-d%3D%22599%22%3E%20exactly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222004040%22%20data-d%3D%22360%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222004400%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222004600%22%20data-d%3D%22640%22%3E%20wanted.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A26%22%3E%3CSPAN%20data-m%3D%222006360%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222006800%22%20data-d%3D%22319%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222007200%22%20data-d%3D%22240%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222007520%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222007800%22%20data-d%3D%22160%22%3E%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222007960%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222008080%22%20data-d%3D%22360%22%3E%20starting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222008520%22%20data-d%3D%22400%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A29%22%3E%3CSPAN%20data-m%3D%222009200%22%20data-d%3D%22119%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222009360%22%20data-d%3D%22120%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222009520%22%20data-d%3D%2279%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222009600%22%20data-d%3D%22160%22%3E%20set%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222009800%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222010000%22%20data-d%3D%22160%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222010760%22%20data-d%3D%22599%22%3ECandidate%20Points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A31%22%3E%3CSPAN%20data-m%3D%222011840%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222012200%22%20data-d%3D%22200%22%3E%20could%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222012440%22%20data-d%3D%22559%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222013160%22%20data-d%3D%221759%22%3E%20additional%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222015040%22%20data-d%3D%22559%22%3E%20points.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A36%22%3E%3CSPAN%20data-m%3D%222016160%22%20data-d%3D%22159%22%3EI%20could%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222016360%22%20data-d%3D%22440%22%3E%20done%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222016920%22%20data-d%3D%22199%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222017160%22%20data-d%3D%22199%22%3E%20little%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222017400%22%20data-d%3D%22519%22%3E%20bit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222018040%22%20data-d%3D%22240%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222018280%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222018480%22%20data-d%3D%22200%22%3E%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A38%22%3E%3CSPAN%20data-m%3D%222018720%22%20data-d%3D%22160%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222018880%22%20data-d%3D%22159%22%3E%20could%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222019040%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222019240%22%20data-d%3D%22240%22%3E%20added%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222019520%22%20data-d%3D%22240%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222019800%22%20data-d%3D%22240%22%3E%20points%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222020120%22%20data-d%3D%22360%22%3Ehere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222020600%22%20data-d%3D%22240%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222020840%22%20data-d%3D%22400%22%3E%20instance%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222021320%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222021560%22%20data-d%3D%22120%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222021720%22%20data-d%3D%22119%22%3E%20on.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A41%22%3E%3CSPAN%20data-m%3D%222021880%22%20data-d%3D%22439%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222022440%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222022680%22%20data-d%3D%22119%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222022840%22%20data-d%3D%22360%22%3E%20honest%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222023280%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222023600%22%20data-d%3D%22880%22%3E%20discretization%20steps%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222025840%22%20data-d%3D%22400%22%3Eare%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222026280%22%20data-d%3D%22279%22%3E%20fine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222026640%22%20data-d%3D%22199%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222026840%22%20data-d%3D%22600%22%3E%20me.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A48%22%3E%3CSPAN%20data-m%3D%222028560%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222028760%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222028960%22%20data-d%3D%22200%22%3E%20keep%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222029240%22%20data-d%3D%22119%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222029400%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222029600%22%20data-d%3D%22680%22%3E%20points%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222030480%22%20data-d%3D%22319%22%3E%20like%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222030800%22%20data-d%3D%22600%22%3E%20that.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A52%22%3E%3CSPAN%20data-m%3D%222032920%22%20data-d%3D%22319%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222033280%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222033480%22%20data-d%3D%22319%22%3E%20open%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222033880%22%20data-d%3D%22679%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222034720%22%20data-d%3D%22480%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222035280%22%20data-d%3D%22200%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222035520%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222035760%22%20data-d%3D%22599%22%3E%20experiment%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222036400%22%20data-d%3D%22559%22%3Emenu%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A33%3A57%22%3E%3CSPAN%20data-m%3D%222037080%22%20data-d%3D%22240%22%3Ego%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222037360%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222037600%22%20data-d%3D%22480%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222038200%22%20data-d%3D%22399%22%3E%20Custom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222038680%22%20data-d%3D%22480%22%3E%20Design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222039280%22%20data-d%3D%22680%22%3E%20platform.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A02%22%3E%3CSPAN%20data-m%3D%222042080%22%20data-d%3D%22320%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222042400%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222042600%22%20data-d%3D%22960%22%3E%20response%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222043760%22%20data-d%3D%22440%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222044280%22%20data-d%3D%22200%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222044520%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222044720%22%20data-d%3D%22639%22%3E%20measure%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222045800%22%20data-d%3D%22559%22%3E%20the%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222046440%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222046680%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222046840%22%20data-d%3D%22680%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A08%22%3E%3CSPAN%20data-m%3D%222048320%22%20data-d%3D%22319%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222048679%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222048880%22%20data-d%3D%22719%22%3E%20Factors%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222049760%22%20data-d%3D%22279%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222050080%22%20data-d%3D%22119%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222050239%22%20data-d%3D%22320%22%3E%20add%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222050600%22%20data-d%3D%2216119%22%3Emy%20first%20parameter%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A10%22%3E%3CSPAN%20data-m%3D%222050600%22%20data-d%3D%2216119%22%3ELaser%20power%20and%20welding%20speed%20as%20Covariate.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A26%22%3E%3CSPAN%20data-m%3D%222066920%22%20data-d%3D%22559%22%3EI%20select%20Covariate%2C%20I%20select%20laser%20power%20and%20Welding%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A24%22%3E%3CSPAN%20data-m%3D%222064989%22%20data-d%3D%221000%22%3EAutomatically%2C%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222067600%22%20data-d%3D%22240%22%3Efills%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222067880%22%20data-d%3D%22519%22%3E%20up%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222068560%22%20data-d%3D%22320%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222068920%22%20data-d%3D%22480%22%3E%20lowest%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222070120%22%20data-d%3D%22240%22%3E%20and%20highest%20value%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222070440%22%20data-d%3D%22159%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222070600%22%20data-d%3D%22200%22%3E%20these%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222070840%22%20data-d%3D%22199%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222071040%22%20data-d%3D%22760%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A32%22%3E%3CSPAN%20data-m%3D%222072600%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222072960%22%20data-d%3D%22279%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222073280%22%20data-d%3D%22359%22%3E%20add%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222073719%22%20data-d%3D%22720%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222074600%22%20data-d%3D%22760%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222076120%22%20data-d%3D%22320%22%3E3-level%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222076520%22%20data-d%3D%22920%22%3E%20categorial%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222078800%22%20data-d%3D%221000%22%3Eparameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A40%22%3E%3CSPAN%20data-m%3D%222080480%22%20data-d%3D%22239%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222080760%22%20data-d%3D%22159%22%3E%20call%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222080960%22%20data-d%3D%22440%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222081520%22%20data-d%3D%22639%22%3E%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A43%22%3E%3CSPAN%20data-m%3D%222083040%22%20data-d%3D%22360%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222083440%22%20data-d%3D%22199%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222083679%22%20data-d%3D%22400%22%3E%20level%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222084960%22%20data-d%3D%22360%22%3Edrive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222085360%22%20data-d%3D%22599%22%3E%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A46%22%3E%3CSPAN%20data-m%3D%222086960%22%20data-d%3D%22719%22%3Ecenter%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222088400%22%20data-d%3D%22519%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222089000%22%20data-d%3D%22559%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222089600%22%20data-d%3D%22599%22%3E%20side.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A53%22%3E%3CSPAN%20data-m%3D%222093239%22%20data-d%3D%22320%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222093600%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222093760%22%20data-d%3D%22199%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222094000%22%20data-d%3D%22400%22%3E%20forget%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222094480%22%20data-d%3D%22599%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222095239%22%20data-d%3D%22320%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222095600%22%20data-d%3D%22200%22%3E%20add%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222095840%22%20data-d%3D%22279%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222096199%22%20data-d%3D%22760%22%3E%20uncontrolled%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222097000%22%20data-d%3D%22599%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A34%3A57%22%3E%3CSPAN%20data-m%3D%222097920%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222098080%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222098320%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222098640%22%20data-d%3D%22640%22%3E%20position%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222099840%22%20data-d%3D%22319%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222100160%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222100400%22%20data-d%3D%22599%22%3E%20weld.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A01%22%3E%3CSPAN%20data-m%3D%222101160%22%20data-d%3D%22360%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222101560%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222101720%22%20data-d%3D%22160%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222101880%22%20data-d%3D%22519%22%3E%20uncontrolled%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222102400%22%20data-d%3D%22719%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A03%22%3E%3CSPAN%20data-m%3D%222103280%22%20data-d%3D%22239%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222103560%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222103720%22%20data-d%3D%22160%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222103920%22%20data-d%3D%22159%22%3E%20know%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222104080%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222104200%22%20data-d%3D%22400%22%3E%20limits%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222104640%22%20data-d%3D%22200%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222104880%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222105040%22%20data-d%3D%22240%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222105320%22%20data-d%3D%22519%22%3E%20nothing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222105960%22%20data-d%3D%22279%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222106280%22%20data-d%3D%22480%22%3E%20these%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222106880%22%20data-d%3D%22839%22%3E%20boxes.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A08%22%3E%3CSPAN%20data-m%3D%222108200%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222108440%22%20data-d%3D%22279%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222108800%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222108960%22%20data-d%3D%22199%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222109200%22%20data-d%3D%22519%22%3E%20forget%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222109840%22%20data-d%3D%22239%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222110120%22%20data-d%3D%22400%22%3E%20change%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222110600%22%20data-d%3D%22639%22%3E%20here%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A11%22%3E%3CSPAN%20data-m%3D%222111400%22%20data-d%3D%22239%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222111640%22%20data-d%3D%22200%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222111880%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222112080%22%20data-d%3D%22119%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222112240%22%20data-d%3D%22440%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222112800%22%20data-d%3D%22319%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222113160%22%20data-d%3D%22640%22%3E%20account%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222114120%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222114520%22%20data-d%3D%22199%22%3E%20speed%2Fplot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222115440%22%20data-d%3D%22599%22%3E%20feature.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A16%22%3E%3CSPAN%20data-m%3D%222116600%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222116840%22%20data-d%3D%22440%22%3E%20mentioned%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222117400%22%20data-d%3D%22480%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222118000%22%20data-d%3D%22239%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222118280%22%20data-d%3D%22439%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222119240%22%20data-d%3D%22440%22%3Elaser%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222119800%22%20data-d%3D%22439%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222120800%22%20data-d%3D%22399%22%3Ewelding%20speed%20are%20hard-to-change%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A23%22%3E%3CSPAN%20data-m%3D%222123320%22%20data-d%3D%22440%22%3E%20compared%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222123800%22%20data-d%3D%22480%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222124400%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222124720%22%20data-d%3D%22680%22%3E%20side.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A26%22%3E%3CSPAN%20data-m%3D%222126400%22%20data-d%3D%22719%22%3EEverything%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222127560%22%20data-d%3D%22360%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222127960%22%20data-d%3D%22360%22%3E%20correct%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222128400%22%20data-d%3D%22239%22%3E%20here%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222128680%22%20data-d%3D%22160%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222128880%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222129040%22%20data-d%3D%22559%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222129960%22%20data-d%3D%22719%22%3E%20run.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A32%22%3E%3CSPAN%20data-m%3D%222132760%22%20data-d%3D%22839%22%3EConcerning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222133680%22%20data-d%3D%22320%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222134040%22%20data-d%3D%221039%22%3E%20constraints%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222135560%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222135800%22%20data-d%3D%22199%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222136000%22%20data-d%3D%22239%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222136280%22%20data-d%3D%22239%22%3E%20need%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222136600%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222136840%22%20data-d%3D%22279%22%3E%20area%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A37%22%3E%3CSPAN%20data-m%3D%222137200%22%20data-d%3D%22280%22%3Ebecause%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222137560%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222137800%22%20data-d%3D%22359%22%3Ealready%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222138280%22%20data-d%3D%22279%22%3E%20took%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222138600%22%20data-d%3D%22280%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222138920%22%20data-d%3D%22480%22%3E%20account%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222139520%22%20data-d%3D%22280%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222139840%22%20data-d%3D%221000%22%3E%20constraints%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A41%22%3E%3CSPAN%20data-m%3D%222141240%22%20data-d%3D%22440%22%3Ewhen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222141720%22%20data-d%3D%22560%22%3E%20selected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222142280%22%20data-d%3D%22199%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222142520%22%20data-d%3D%22880%22%3E%20covariate%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222144080%22%20data-d%3D%22200%22%3Eso%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222144280%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222144440%22%20data-d%3D%22199%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222144680%22%20data-d%3D%22200%22%3E%20need%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222144920%22%20data-d%3D%22599%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A45%22%3E%3CSPAN%20data-m%3D%222145680%22%20data-d%3D%22640%22%3EConcerning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222146320%22%20data-d%3D%22199%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222146560%22%20data-d%3D%22440%22%3E%20model%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222147120%22%20data-d%3D%22280%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222147440%22%20data-d%3D%22639%22%3E%20immediately%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222148160%22%20data-d%3D%22680%22%3E%20choose%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222149520%22%20data-d%3D%221000%22%3E%20RSM.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A52%22%3E%3CSPAN%20data-m%3D%222152360%22%20data-d%3D%22319%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222152720%22%20data-d%3D%22200%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222152960%22%20data-d%3D%22279%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222153320%22%20data-d%3D%22719%22%3E%20RSM%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222154120%22%20data-d%3D%22240%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222154400%22%20data-d%3D%22319%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222154800%22%20data-d%3D%22439%22%3E%20suppress%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222155280%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222155600%22%20data-d%3D%22599%22%3E%20interaction%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222156280%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222156440%22%20data-d%3D%2279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222156920%22%20data-d%3D%22319%22%3Elaser%20power%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A35%3A57%22%3E%3CSPAN%20data-m%3D%222157320%22%20data-d%3D%22159%22%3Ewith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222157520%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222157640%22%20data-d%3D%22599%22%3E%20position%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222158800%22%20data-d%3D%22359%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222159200%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222159520%22%20data-d%3D%22599%22%3E%20interaction%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222160200%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222160400%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222160600%22%20data-d%3D%22400%22%3E%20position%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A01%22%3E%3CSPAN%20data-m%3D%222161120%22%20data-d%3D%22280%22%3Ewith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222161440%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222162200%22%20data-d%3D%22280%22%3Ewelding%20speed%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A02%22%3E%3CSPAN%20data-m%3D%222162520%22%20data-d%3D%22199%22%3Ebecause%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222162760%22%20data-d%3D%22159%22%3E%20there%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222162960%22%20data-d%3D%22400%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222163480%22%20data-d%3D%22440%22%3Eclearly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222164000%22%20data-d%3D%22199%22%3E%20no%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222164240%22%20data-d%3D%22600%22%3E%20interaction%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222164840%22%20data-d%3D%22199%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222165040%22%20data-d%3D%22559%22%3E%20all.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A07%22%3E%3CSPAN%20data-m%3D%222167160%22%20data-d%3D%22320%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222167520%22%20data-d%3D%22440%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222168080%22%20data-d%3D%22599%22%3E%20immediately%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222168760%22%20data-d%3D%22239%22%3E%20click%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222169040%22%20data-d%3D%22159%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222169240%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222169520%22%20data-d%3D%22199%22%3E%20Make%20Design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222170200%22%20data-d%3D%22519%22%3Ebutton%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A10%22%3E%3CSPAN%20data-m%3D%222170880%22%20data-d%3D%22279%22%3Ebecause%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222171200%22%20data-d%3D%22200%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222171400%22%20data-d%3D%22199%22%3Ewill%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222171640%22%20data-d%3D%22559%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222172800%22%20data-d%3D%22359%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222173200%22%20data-d%3D%22600%22%3E%20moment.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A14%22%3E%3CSPAN%20data-m%3D%222174160%22%20data-d%3D%22360%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222174520%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222174680%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222174880%22%20data-d%3D%22199%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222175120%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222175360%22%20data-d%3D%22400%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222175840%22%20data-d%3D%22519%22%3E%20proposed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222176440%22%20data-d%3D%22639%22%3E%20me%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A17%22%3E%3CSPAN%20data-m%3D%222177720%22%20data-d%3D%22320%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222178080%22%20data-d%3D%22639%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222178920%22%20data-d%3D%22679%22%3E%20eight%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222179720%22%20data-d%3D%22960%22%3E%20tests%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222181600%22%20data-d%3D%22480%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222182160%22%20data-d%3D%22600%22%3E%2024%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222182800%22%20data-d%3D%22839%22%3E%20measurements.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A23%22%3E%3CSPAN%20data-m%3D%222183800%22%20data-d%3D%22319%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222184120%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222184320%22%20data-d%3D%22199%22%3E%20fine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222184600%22%20data-d%3D%22119%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222184720%22%20data-d%3D%22240%22%3E%20me.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A27%22%3E%3CSPAN%20data-m%3D%222187000%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222187360%22%20data-d%3D%22199%22%3E%20keep%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222187600%22%20data-d%3D%22400%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222188120%22%20data-d%3D%22559%22%3E%20default%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222188800%22%20data-d%3D%22879%22%3E%20parameter.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A30%22%3E%3CSPAN%20data-m%3D%222190240%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222190480%22%20data-d%3D%22519%22%3E%20make%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222191120%22%20data-d%3D%22720%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222192280%22%20data-d%3D%22639%22%3E%20table%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222193040%22%20data-d%3D%22639%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A35%22%3E%3CSPAN%20data-m%3D%222195040%22%20data-d%3D%22760%22%3EOkay.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A36%22%3E%3CSPAN%20data-m%3D%222196100%22%20data-d%3D%221000%22%3EThis%20is%20the%20defect%20concerning%20to%20laser%20power%2C%20welding%20speed%2C%20side.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A46%22%3E%3CSPAN%20data-m%3D%222206000%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222206360%22%20data-d%3D%22119%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222206520%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222206640%22%20data-d%3D%22320%22%3E%20column%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222207000%22%20data-d%3D%22599%22%3E%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A48%22%3E%3CSPAN%20data-m%3D%222208760%22%20data-d%3D%22319%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222209080%22%20data-d%3D%22200%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222209360%22%20data-d%3D%22199%22%3E%20record%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222209600%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222209840%22%20data-d%3D%22359%22%3E%20position%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222210320%22%20data-d%3D%22239%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222210560%22%20data-d%3D%22159%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222210720%22%20data-d%3D%22360%22%3E%20welding%20speed%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A51%22%3E%3CSPAN%20data-m%3D%222211800%22%20data-d%3D%22319%22%3Ewhere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222212160%22%20data-d%3D%22160%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222212320%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222212520%22%20data-d%3D%22280%22%3E%20record%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222212880%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222213080%22%20data-d%3D%22400%22%3E%20strength%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222213480%22%20data-d%3D%22199%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222213720%22%20data-d%3D%22320%22%3E%20everything%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222214120%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222214360%22%20data-d%3D%22599%22%3E%20okay.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A36%3A55%22%3E%3CSPAN%20data-m%3D%222215160%22%20data-d%3D%22320%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222215520%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222215760%22%20data-d%3D%22599%22%3E%20never%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222217120%22%20data-d%3D%221119%22%3E%20visualize%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222218800%22%20data-d%3D%22359%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222219200%22%20data-d%3D%22240%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222219480%22%20data-d%3D%22239%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222219800%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222220280%22%20data-d%3D%22480%22%3EGraph%20Builder.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A01%22%3E%3CSPAN%20data-m%3D%222221400%22%20data-d%3D%22279%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222221720%22%20data-d%3D%22240%22%3E%20put%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222222000%22%20data-d%3D%22239%22%3Eonce%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222222320%22%20data-d%3D%22599%22%3E%20again%2C%20the%20laser%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222224360%22%20data-d%3D%22319%22%3E%20in%20the%20Y-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222224960%22%20data-d%3D%22759%22%3Eaxis%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A04%22%3E%3CSPAN%20data-m%3D%222224960%22%20data-d%3D%22759%22%3Ethe%20welding%20speed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222225920%22%20data-d%3D%22719%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222226800%22%20data-d%3D%22279%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222227080%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222227360%22%20data-d%3D%22319%22%3E%20X%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222227800%22%20data-d%3D%22799%22%3E-axis.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A08%22%3E%3CSPAN%20data-m%3D%222228830%22%20data-d%3D%221000%22%3EPerfect%2C%20and%20we%20read%20curve.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A11%22%3E%3CSPAN%20data-m%3D%222231680%22%20data-d%3D%22320%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222232040%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222232320%22%20data-d%3D%22319%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222232720%22%20data-d%3D%22280%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222233040%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222233320%22%20data-d%3D%22519%22%3E%20side%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222233960%22%20data-d%3D%22400%22%3Ehere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222234440%22%20data-d%3D%22279%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222234760%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222235000%22%20data-d%3D%22400%22%3E%20Color%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222235480%22%20data-d%3D%22719%22%3E%20area.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A16%22%3E%3CSPAN%20data-m%3D%222236440%22%20data-d%3D%22279%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222236760%22%20data-d%3D%22199%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222237000%22%20data-d%3D%22159%22%3E%20add%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222237160%22%20data-d%3D%22600%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222238160%22%20data-d%3D%221079%22%3E%20details.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A19%22%3E%3CSPAN%20data-m%3D%222239440%22%20data-d%3D%22559%22%3EOkay%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222240120%22%20data-d%3D%22640%22%3E%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222240960%22%20data-d%3D%22239%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222241200%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222241440%22%20data-d%3D%22159%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222241600%22%20data-d%3D%22280%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222241960%22%20data-d%3D%22199%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222242200%22%20data-d%3D%22200%22%3E%20is%20the%20point%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A23%22%3E%3CSPAN%20data-m%3D%222243680%22%20data-d%3D%22320%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222244040%22%20data-d%3D%22159%22%3E%20has%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222244240%22%20data-d%3D%22200%22%3E%20been%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222244480%22%20data-d%3D%22559%22%3E%20selected%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222245080%22%20data-d%3D%22320%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222245480%22%20data-d%3D%22639%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222246280%22%20data-d%3D%22480%22%3E%20within%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222246840%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222247120%22%20data-d%3D%22640%22%3E%20framework%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222247840%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222248160%22%20data-d%3D%22559%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222249240%22%20data-d%3D%22800%22%3E%20Candidate%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222250120%22%20data-d%3D%22680%22%3E%20set.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A32%22%3E%3CSPAN%20data-m%3D%222252320%22%20data-d%3D%22399%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222252760%22%20data-d%3D%22239%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222253080%22%20data-d%3D%22400%22%3E%20point%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222253600%22%20data-d%3D%22240%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222253880%22%20data-d%3D%22119%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222254000%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222254200%22%20data-d%3D%22519%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222254880%22%20data-d%3D%22319%22%3E%20three%20measurements%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A36%22%3E%3CSPAN%20data-m%3D%222256040%22%20data-d%3D%22240%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222256280%22%20data-d%3D%22239%22%3E%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222256600%22%20data-d%3D%22280%22%3E%20side%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222256960%22%20data-d%3D%22400%22%3Ecenter%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222257440%22%20data-d%3D%22320%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222257800%22%20data-d%3D%22439%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222258320%22%20data-d%3D%22319%22%3E%20side%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A38%22%3E%3CSPAN%20data-m%3D%222258720%22%20data-d%3D%22560%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222259400%22%20data-d%3D%22440%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222260240%22%20data-d%3D%22320%22%3E%20wants%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222260600%22%20data-d%3D%22240%22%3E%20me%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222260880%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222261080%22%20data-d%3D%22360%22%3E%20perform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222261520%22%20data-d%3D%22320%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222261880%22%20data-d%3D%22359%22%3E%20test%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222262320%22%20data-d%3D%22719%22%3E%20twice.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A43%22%3E%3CSPAN%20data-m%3D%222263400%22%20data-d%3D%22639%22%3EOkay%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222264160%22%20data-d%3D%22680%22%3E%2C%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222265560%22%20data-d%3D%22360%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222265920%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222266160%22%20data-d%3D%22559%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222267440%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222267720%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222267880%22%20data-d%3D%22279%22%3E%20done.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A48%22%3E%3CSPAN%20data-m%3D%222268600%22%20data-d%3D%22119%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222268760%22%20data-d%3D%22319%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222269160%22%20data-d%3D%22280%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222269520%22%20data-d%3D%22199%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222269760%22%20data-d%3D%22519%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222270440%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222270720%22%20data-d%3D%22680%22%3E%20result.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A52%22%3E%3CSPAN%20data-m%3D%222272040%22%20data-d%3D%22199%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222272280%22%20data-d%3D%22199%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222272520%22%20data-d%3D%22559%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222273240%22%20data-d%3D%22400%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222273680%22%20data-d%3D%22600%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222274440%22%20data-d%3D%22519%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222275040%22%20data-d%3D%22880%22%3E%20journal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222276680%22%20data-d%3D%22760%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A37%3A57%22%3E%3CSPAN%20data-m%3D%222277600%22%20data-d%3D%22320%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222277920%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222278160%22%20data-d%3D%22640%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222278960%22%20data-d%3D%22400%22%3E%20last%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222279400%22%20data-d%3D%22679%22%3E%20step%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222280280%22%20data-d%3D%22359%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222280680%22%20data-d%3D%22400%22%3E%20result%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222281200%22%20data-d%3D%22960%22%3E%20analysis.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A03%22%3E%3CSPAN%20data-m%3D%222283080%22%20data-d%3D%22280%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222283400%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222283600%22%20data-d%3D%22240%22%3E%20open%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222283920%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222284200%22%20data-d%3D%221080%22%3E%20associated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222285960%22%20data-d%3D%22800%22%3E%20table.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A07%22%3E%3CSPAN%20data-m%3D%222287400%22%20data-d%3D%22159%22%3EHere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222287600%22%20data-d%3D%22119%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222287760%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222287920%22%20data-d%3D%2279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222288040%22%20data-d%3D%22159%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222288240%22%20data-d%3D%22280%22%3Etable%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222288600%22%20data-d%3D%22200%22%3E%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222288840%22%20data-d%3D%22639%22%3E%20previously.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A09%22%3E%3CSPAN%20data-m%3D%222289560%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222289800%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222290000%22%20data-d%3D%22480%22%3E%20recorded%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222290600%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222290880%22%20data-d%3D%22719%22%3E%20positions.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A11%22%3E%3CSPAN%20data-m%3D%222291720%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222291960%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222292120%22%20data-d%3D%22480%22%3E%20recorded%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222292760%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222293040%22%20data-d%3D%22480%22%3E%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222293880%22%20data-d%3D%22159%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222294080%22%20data-d%3D%22360%22%3E%20absolute%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222294520%22%20data-d%3D%22440%22%3E%20value%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222295040%22%20data-d%3D%22240%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222295320%22%20data-d%3D%22719%22%3E%20terms.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A16%22%3E%3CSPAN%20data-m%3D%222296360%22%20data-d%3D%22279%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222296640%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222296800%22%20data-d%3D%22839%22%3E%20inserted%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222298560%22%20data-d%3D%22360%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222298920%22%20data-d%3D%22639%22%3E%20columns%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222299640%22%20data-d%3D%22640%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A20%22%3E%3CSPAN%20data-m%3D%222300600%22%20data-d%3D%22360%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222300960%22%20data-d%3D%22599%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222302040%22%20data-d%3D%22760%22%3E%20our%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A23%22%3E%3CSPAN%20data-m%3D%222303840%22%20data-d%3D%22799%22%3Ereference%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222304760%22%20data-d%3D%22679%22%3E%20strength%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A25%22%3E%3CSPAN%20data-m%3D%222305600%22%20data-d%3D%22280%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222305880%22%20data-d%3D%22239%22%3E%20strength%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222306160%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222306360%22%20data-d%3D%22319%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222306800%22%20data-d%3D%22239%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222307080%22%20data-d%3D%22440%22%3E%20material%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222307600%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222307800%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222308000%22%20data-d%3D%22239%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222308320%22%20data-d%3D%22879%22%3E%20previously%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222309360%22%20data-d%3D%22799%22%3E%20determined.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A30%22%3E%3CSPAN%20data-m%3D%222310520%22%20data-d%3D%2279%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222310640%22%20data-d%3D%22160%22%3E%20is%209.76%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222312720%22%20data-d%3D%22760%22%3E%20tons%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A34%22%3E%3CSPAN%20data-m%3D%222314600%22%20data-d%3D%22400%22%3Ebecause%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222315040%22%20data-d%3D%22119%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222315200%22%20data-d%3D%22160%22%3E%20fact%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222315400%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222315560%22%20data-d%3D%22240%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222315880%22%20data-d%3D%22199%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222316120%22%20data-d%3D%22200%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222316320%22%20data-d%3D%22119%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222316480%22%20data-d%3D%22199%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222316720%22%20data-d%3D%22200%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222316960%22%20data-d%3D%22320%22%3E%20create%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222317360%22%20data-d%3D%22239%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222317640%22%20data-d%3D%22320%22%3E%20extra%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222318040%22%20data-d%3D%22360%22%3E%20column%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A38%22%3E%3CSPAN%20data-m%3D%222318480%22%20data-d%3D%22199%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222318720%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222318920%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222319160%22%20data-d%3D%22440%22%3E%20strength%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222319640%22%20data-d%3D%22360%22%3E%20but%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222320080%22%20data-d%3D%22320%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222320480%22%20data-d%3D%22639%22%3E%20percent%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222321440%22%20data-d%3D%22519%22%3E%20compared%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222322000%22%20data-d%3D%22599%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222323240%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222323560%22%20data-d%3D%22200%22%3E%20base%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222323800%22%20data-d%3D%22519%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A44%22%3E%3CSPAN%20data-m%3D%222324760%22%20data-d%3D%22199%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222324960%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222325120%22%20data-d%3D%22200%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222325320%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222325680%22%20data-d%3D%22360%22%3E%20last%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222326120%22%20data-d%3D%22760%22%3E%20column.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A47%22%3E%3CSPAN%20data-m%3D%222327040%22%20data-d%3D%22320%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222327360%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222327520%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222327640%22%20data-d%3D%22200%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222327880%22%20data-d%3D%22279%22%3E%20column%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222328200%22%20data-d%3D%22200%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222328440%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222328600%22%20data-d%3D%22160%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222328800%22%20data-d%3D%22199%22%3E%20take%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222329040%22%20data-d%3D%22240%22%3E%20into%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222329320%22%20data-d%3D%22399%22%3E%20account%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222329800%22%20data-d%3D%22679%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222331280%22%20data-d%3D%22439%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222331760%22%20data-d%3D%22799%22%3E%20optimizations.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A53%22%3E%3CSPAN%20data-m%3D%222333760%22%20data-d%3D%22199%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222334000%22%20data-d%3D%22239%22%3E%20store%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222334320%22%20data-d%3D%22239%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222334600%22%20data-d%3D%22800%22%3E%20analysis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222335520%22%20data-d%3D%22639%22%3E%20into%20each%20column%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222338640%22%20data-d%3D%22519%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A38%3A59%22%3E%3CSPAN%20data-m%3D%222339600%22%20data-d%3D%22240%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222339880%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222340080%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222340240%22%20data-d%3D%22800%22%3E%20results.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A01%22%3E%3CSPAN%20data-m%3D%222341200%22%20data-d%3D%22280%22%3EAs%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222341520%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222341680%22%20data-d%3D%22720%22%3E%20reminder%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222342520%22%20data-d%3D%22280%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222342880%22%20data-d%3D%22519%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222343560%22%20data-d%3D%22679%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222344680%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222345080%22%20data-d%3D%22280%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222345440%22%20data-d%3D%22279%22%3E%20part.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A08%22%3E%3CSPAN%20data-m%3D%222348480%22%20data-d%3D%22320%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222348840%22%20data-d%3D%22879%22%3E%20irregular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222349920%22%20data-d%3D%22519%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222350520%22%20data-d%3D%22159%22%3Eas%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222350680%22%20data-d%3D%22120%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222350840%22%20data-d%3D%22799%22%3E%20reminder.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A12%22%3E%3CSPAN%20data-m%3D%222352200%22%20data-d%3D%22600%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222352920%22%20data-d%3D%22679%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222354000%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222354400%22%20data-d%3D%221000%22%3E%20experimental%20points%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222356560%22%20data-d%3D%22360%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222356960%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222357200%22%20data-d%3D%22240%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222357520%22%20data-d%3D%22679%22%3E%20performed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A27%22%3E%3CSPAN%20data-m%3D%222367160%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222367520%22%20data-d%3D%22199%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222367760%22%20data-d%3D%22479%22%3E%20colored%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222368280%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222368520%22%20data-d%3D%22360%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222368960%22%20data-d%3D%22480%22%3E%20using%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222369560%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222369800%22%20data-d%3D%22559%22%3E%20strengths%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222370440%22%20data-d%3D%22679%22%3E%20percent.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A32%22%3E%3CSPAN%20data-m%3D%222372400%22%20data-d%3D%22400%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222372840%22%20data-d%3D%22279%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222374480%22%20data-d%3D%22440%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222375000%22%20data-d%3D%22280%22%3E%20Fit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222375360%22%20data-d%3D%22359%22%3E%20Model%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222375800%22%20data-d%3D%22519%22%3E%20platform%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222376440%22%20data-d%3D%22239%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222376680%22%20data-d%3D%22280%22%3E%20order%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222377040%22%20data-d%3D%22599%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222378160%22%20data-d%3D%22760%22%3E%20create%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222379280%22%20data-d%3D%22359%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222379680%22%20data-d%3D%22480%22%3E%20model.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A44%22%3E%3CSPAN%20data-m%3D%222384720%22%20data-d%3D%22360%22%3EStep%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222385080%22%20data-d%3D%22200%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222385320%22%20data-d%3D%22279%22%3E%20step%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222385680%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222385920%22%20data-d%3D%22400%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222386440%22%20data-d%3D%221039%22%3E%20suppressed%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222388800%22%20data-d%3D%221000%22%3E%20the%20non-significant%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222390120%22%20data-d%3D%221000%22%3E%20interaction%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A51%22%3E%3CSPAN%20data-m%3D%222391280%22%20data-d%3D%22399%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222391760%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222392000%22%20data-d%3D%22800%22%3E%20parameter%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A54%22%3E%3CSPAN%20data-m%3D%222394200%22%20data-d%3D%22400%22%3Eusing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222394640%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222394880%22%20data-d%3D%22679%22%3E%20p-values%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222395640%22%20data-d%3D%22640%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A39%3A57%22%3E%3CSPAN%20data-m%3D%222397280%22%20data-d%3D%22759%22%3EFinally%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222398960%22%20data-d%3D%22320%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222399320%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222399480%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222399600%22%20data-d%3D%22559%22%3E%20model%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A01%22%3E%3CSPAN%20data-m%3D%222401280%22%20data-d%3D%22319%22%3Ewith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222401640%22%20data-d%3D%22200%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222401940%22%20data-d%3D%222000%22%3Eexplicative%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222402680%22%20data-d%3D%22600%22%3Epower%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222403400%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222403720%22%20data-d%3D%22360%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222404160%22%20data-d%3D%22400%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222404640%22%20data-d%3D%221360%22%3E%2096%20percent%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A06%22%3E%3CSPAN%20data-m%3D%222406160%22%20data-d%3D%22320%22%3Ewhich%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222406520%22%20data-d%3D%22559%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222407280%22%20data-d%3D%22359%22%3E%20quite%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222407680%22%20data-d%3D%22200%22%3E%20good%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222407920%22%20data-d%3D%22239%22%3E%20because%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222408200%22%20data-d%3D%22160%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222408400%22%20data-d%3D%22159%22%3E%20fact%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222408600%22%20data-d%3D%22160%22%3E%20it%20means%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A09%22%3E%3CSPAN%20data-m%3D%222409000%22%20data-d%3D%22239%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222409320%22%20data-d%3D%22279%22%3E%20only%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222409640%22%20data-d%3D%22320%22%3E%20four%20percent%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222409960%22%20data-d%3D%22320%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222410280%22%20data-d%3D%22919%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222411240%22%20data-d%3D%22280%22%3E%20wall%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222411560%22%20data-d%3D%22800%22%3E%20variation%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A13%22%3E%3CSPAN%20data-m%3D%222413000%22%20data-d%3D%22960%22%3Eescape%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222414080%22%20data-d%3D%22320%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222414480%22%20data-d%3D%22440%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222415040%22%20data-d%3D%22519%22%3E%20prediction%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222415600%22%20data-d%3D%22599%22%3E%20power.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A18%22%3E%3CSPAN%20data-m%3D%222418480%22%20data-d%3D%221000%22%3EConcerning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222419600%22%20data-d%3D%22320%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222420920%22%20data-d%3D%2299%22%3Ecollinearities%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222419960%22%20data-d%3D%22960%22%3E%2C%20if%20I%20look%20to%20our%20VIF%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A23%22%3E%3CSPAN%20data-m%3D%222423480%22%20data-d%3D%22400%22%3Eour%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222423960%22%20data-d%3D%22519%22%3E%20variance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222424520%22%20data-d%3D%22480%22%3E%20inflation%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222425080%22%20data-d%3D%22880%22%3E%20factor%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222426120%22%20data-d%3D%22320%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222426480%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222426680%22%20data-d%3D%22320%22%3E%20them%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222427080%22%20data-d%3D%22240%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222427360%22%20data-d%3D%22279%22%3E%20below%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222427720%22%20data-d%3D%22640%22%3E%20three.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A30%22%3E%3CSPAN%20data-m%3D%222430520%22%20data-d%3D%22159%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222430720%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222430920%22%20data-d%3D%22159%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222431080%22%20data-d%3D%22320%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222431480%22%20data-d%3D%22800%22%3E%20confident%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A33%22%3E%3CSPAN%20data-m%3D%222433560%22%20data-d%3D%22320%22%3Ein%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222433920%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222434160%22%20data-d%3D%22440%22%3E%20model%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222434720%22%20data-d%3D%22240%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222435000%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222435160%22%20data-d%3D%22240%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222435440%22%20data-d%3D%22159%22%3E%20use%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222435640%22%20data-d%3D%22240%22%3E%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222435920%22%20data-d%3D%22199%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222436160%22%20data-d%3D%22840%22%3E%20prediction.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A39%22%3E%3CSPAN%20data-m%3D%222439000%22%20data-d%3D%22360%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222439360%22%20data-d%3D%22239%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222439640%22%20data-d%3D%22240%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222439960%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222440200%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222440440%22%20data-d%3D%22639%22%3Eprediction%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222441200%22%20data-d%3D%22840%22%3E%20profiler%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222442160%22%20data-d%3D%22600%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A43%22%3E%3CSPAN%20data-m%3D%222443120%22%20data-d%3D%22200%22%3EFirst%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222443360%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222443520%22%20data-d%3D%22159%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222443720%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222443920%22%20data-d%3D%22239%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222444200%22%20data-d%3D%22440%22%3E%20focus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222444720%22%20data-d%3D%22680%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222446680%22%20data-d%3D%22360%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222447080%22%20data-d%3D%22599%22%3E%20part%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A48%22%3E%3CSPAN%20data-m%3D%222448680%22%20data-d%3D%22320%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222449040%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222449240%22%20data-d%3D%22600%22%3E%20interaction%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222449920%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222450080%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222450280%22%20data-d%3D%22359%22%3E%20position%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222450760%22%20data-d%3D%22479%22%3E%20with%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222451360%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222451640%22%20data-d%3D%22280%22%3E%20side.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A52%22%3E%3CSPAN%20data-m%3D%222452440%22%20data-d%3D%22199%22%3EWhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222452680%22%20data-d%3D%22160%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222452880%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222453080%22%20data-d%3D%22280%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222453440%22%20data-d%3D%22599%22%3E%20here%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A40%3A54%22%3E%3CSPAN%20data-m%3D%222454680%22%20data-d%3D%22320%22%3Eif%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222455040%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222455240%22%20data-d%3D%22240%22%3E%20move%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222455560%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222455720%22%20data-d%3D%22600%22%3E%20position%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222456720%22%20data-d%3D%22280%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222457040%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222457240%22%20data-d%3D%22720%22%3E%20weld%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A00%22%3E%3CSPAN%20data-m%3D%222460960%22%20data-d%3D%22279%22%3Eit%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222461280%22%20data-d%3D%22159%22%3E%20seems%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222461480%22%20data-d%3D%22159%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222461640%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222461840%22%20data-d%3D%22879%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222463120%22%20data-d%3D%22360%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222463520%22%20data-d%3D%22240%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222463800%22%20data-d%3D%22799%22%3E%20sensitive%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A06%22%3E%3CSPAN%20data-m%3D%222466240%22%20data-d%3D%22280%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222466560%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222466760%22%20data-d%3D%22599%22%3E%20positions%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222468200%22%20data-d%3D%22280%22%3E%20on%20the%20drive%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222468520%22%20data-d%3D%22360%22%3E%20side%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222468960%22%20data-d%3D%22279%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222469320%22%20data-d%3D%22440%22%3E%20center.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A09%22%3E%3CSPAN%20data-m%3D%222469880%22%20data-d%3D%22239%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222470160%22%20data-d%3D%22160%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222470320%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222470480%22%20data-d%3D%22639%22%3E%20contrary%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222471200%22%20data-d%3D%22640%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222472280%22%20data-d%3D%22319%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222472640%22%20data-d%3D%22440%22%3E%20operator%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222473160%22%20data-d%3D%22600%22%3E%20side%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222473960%22%20data-d%3D%22400%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222474400%22%20data-d%3D%22239%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222474680%22%20data-d%3D%22240%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222474960%22%20data-d%3D%22719%22%3E%20clearly%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A16%22%3E%3CSPAN%20data-m%3D%222476200%22%20data-d%3D%22680%22%3Einfluenced%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222476960%22%20data-d%3D%22119%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222477120%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222477320%22%20data-d%3D%22719%22%3E%20positions.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A18%22%3E%3CSPAN%20data-m%3D%222478360%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222478520%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222478680%22%20data-d%3D%22440%22%3Eexactly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222479200%22%20data-d%3D%22280%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222479480%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222479640%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222479880%22%20data-d%3D%22599%22%3E%20seen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222481400%22%20data-d%3D%22319%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222481760%22%20data-d%3D%22239%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222482040%22%20data-d%3D%22639%22%3E%20plate.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A22%22%3E%3CSPAN%20data-m%3D%222482800%22%20data-d%3D%22279%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222483080%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222483280%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222483440%22%20data-d%3D%22400%22%3E%20modeling%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222483920%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222484160%22%20data-d%3D%22480%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222484800%22%20data-d%3D%22679%22%3E%20waves.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A26%22%3E%3CSPAN%20data-m%3D%222486640%22%20data-d%3D%22360%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222487080%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222487280%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222487440%22%20data-d%3D%22159%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222487640%22%20data-d%3D%22559%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222488600%22%20data-d%3D%22360%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222488960%22%20data-d%3D%22119%22%3E%20kind%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222489120%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222489320%22%20data-d%3D%22319%22%3E%20shape%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222491400%22%20data-d%3D%22559%22%3E%20because%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222492280%22%20data-d%3D%22359%22%3Ethis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222492680%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222492880%22%20data-d%3D%22159%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222493040%22%20data-d%3D%22280%22%3E%20easily%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222493360%22%20data-d%3D%22920%22%3E%20explained.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A34%22%3E%3CSPAN%20data-m%3D%222494440%22%20data-d%3D%22519%22%3EOur%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222495080%22%20data-d%3D%22400%22%3E%20weld%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222495560%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222495720%22%20data-d%3D%22480%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222496360%22%20data-d%3D%22239%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222496640%22%20data-d%3D%22320%22%3E%20huge.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A37%22%3E%3CSPAN%20data-m%3D%222497040%22%20data-d%3D%22240%22%3EIt's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222497280%22%20data-d%3D%22319%22%3E%20only%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222497680%22%20data-d%3D%22200%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222497920%22%20data-d%3D%22319%22%3E%20sample%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222498280%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222498600%22%20data-d%3D%22280%22%3E%20six%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222498880%22%20data-d%3D%22759%22%3E%20centimeters.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A40%22%3E%3CSPAN%20data-m%3D%222500800%22%20data-d%3D%22279%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222501120%22%20data-d%3D%2279%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222501200%22%20data-d%3D%22200%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222501440%22%20data-d%3D%22400%22%3E%20consume%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222501920%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222502080%22%20data-d%3D%22119%22%3E%20lot%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222502200%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222502400%22%20data-d%3D%22679%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A46%22%3E%3CSPAN%20data-m%3D%222506240%22%20data-d%3D%22360%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222506600%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222506720%22%20data-d%3D%22360%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222507200%22%20data-d%3D%22280%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222507560%22%20data-d%3D%22559%22%3E%20along%20the%20wall%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A51%22%3E%3CSPAN%20data-m%3D%222511400%22%20data-d%3D%22360%22%3Ewith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222511800%22%20data-d%3D%22159%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222512000%22%20data-d%3D%22559%22%3E%20shape.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A52%22%3E%3CSPAN%20data-m%3D%222512680%22%20data-d%3D%22240%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222512960%22%20data-d%3D%22159%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222513160%22%20data-d%3D%22200%22%3E%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222513360%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222513560%22%20data-d%3D%22559%22%3E%20bottom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222514680%22%20data-d%3D%22320%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222515000%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222515160%22%20data-d%3D%22360%22%3E%20top%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222515600%22%20data-d%3D%22599%22%3E%20only.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A57%22%3E%3CSPAN%20data-m%3D%222517440%22%20data-d%3D%22119%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222517600%22%20data-d%3D%22119%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222517720%22%20data-d%3D%22200%22%3E%20quite%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222517960%22%20data-d%3D%22279%22%3E%20happy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222518320%22%20data-d%3D%22239%22%3E%20because%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222518600%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222518800%22%20data-d%3D%22159%22%3E%20were%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222519000%22%20data-d%3D%22320%22%3E%20able%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A41%3A59%22%3E%3CSPAN%20data-m%3D%222519400%22%20data-d%3D%22199%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222519640%22%20data-d%3D%22720%22%3E%20analyze%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222520400%22%20data-d%3D%22239%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222520680%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222520880%22%20data-d%3D%22559%22%3E%20model%20correctly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222522160%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222522480%22%20data-d%3D%22639%22%3E%20behavior.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A04%22%3E%3CSPAN%20data-m%3D%222524080%22%20data-d%3D%22119%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222524240%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222524440%22%20data-d%3D%22360%22%3E%20interesting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222524880%22%20data-d%3D%22400%22%3E%20because%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A07%22%3E%3CSPAN%20data-m%3D%222527880%22%20data-d%3D%22400%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222528360%22%20data-d%3D%22480%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222529000%22%20data-d%3D%22639%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222530520%22%20data-d%3D%22400%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222531000%22%20data-d%3D%22320%22%3E%20access%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222531400%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222531600%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222531880%22%20data-d%3D%22480%22%3E%20pure%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222532400%22%20data-d%3D%22719%22%3E%20effect%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222533320%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222533640%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222534440%22%20data-d%3D%22400%22%3Elaser%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222534920%22%20data-d%3D%22199%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222535640%22%20data-d%3D%22360%22%3Ewelding%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A16%22%3E%3CSPAN%20data-m%3D%222536400%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222536600%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222536760%22%20data-d%3D%22199%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222537000%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222537240%22%20data-d%3D%22600%22%3E%20mentioned%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222538280%22%20data-d%3D%22799%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A19%22%3E%3CSPAN%20data-m%3D%222539640%22%20data-d%3D%22160%22%3EFor%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222539840%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222540200%22%20data-d%3D%22440%22%3E%20particular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222540760%22%20data-d%3D%22719%22%3E%20material%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A23%22%3E%3CSPAN%20data-m%3D%222543360%22%20data-d%3D%22319%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222543720%22%20data-d%3D%22320%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222544120%22%20data-d%3D%22480%22%3E%20conclude%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222544600%22%20data-d%3D%22400%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222545080%22%20data-d%3D%22200%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222545320%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222545520%22%20data-d%3D%22320%22%3E%20increase%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222545880%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222546080%22%20data-d%3D%22519%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222546680%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222546880%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222547080%22%20data-d%3D%22559%22%3E%20material%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A27%22%3E%3CSPAN%20data-m%3D%222547760%22%20data-d%3D%22279%22%3Eby%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222548080%22%20data-d%3D%22519%22%3E%20decreasing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222548640%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222549160%22%20data-d%3D%22519%22%3Elaser%20power%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222550200%22%20data-d%3D%22280%22%3E%20or%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222550520%22%20data-d%3D%22880%22%3E%20increasing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222552240%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222552960%22%20data-d%3D%22639%22%3Ewelding%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A36%22%3E%3CSPAN%20data-m%3D%222556080%22%20data-d%3D%22559%22%3ENow%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222556800%22%20data-d%3D%22319%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222557160%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222557360%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222557520%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222557680%22%20data-d%3D%22400%22%3E%20do%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A38%22%3E%3CSPAN%20data-m%3D%222558600%22%20data-d%3D%22320%22%3Ethis%20is%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222559000%22%20data-d%3D%22599%22%3E%20determine%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222559640%22%20data-d%3D%22280%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222559960%22%20data-d%3D%22480%22%3E%20optimal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222560520%22%20data-d%3D%22599%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222562040%22%20data-d%3D%22440%22%3E%20using%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222562520%22%20data-d%3D%22199%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222562720%22%20data-d%3D%22200%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222562920%22%20data-d%3D%22440%22%3E%20information%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222563480%22%20data-d%3D%22239%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222563760%22%20data-d%3D%22439%22%3E%20have.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A44%22%3E%3CSPAN%20data-m%3D%222564640%22%20data-d%3D%22160%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222564800%22%20data-d%3D%22159%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222564960%22%20data-d%3D%22279%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222565280%22%20data-d%3D%22279%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222565600%22%20data-d%3D%22240%22%3E%20prefer%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222565920%22%20data-d%3D%22119%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222566080%22%20data-d%3D%22119%22%3E%20do%20it%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222566560%22%20data-d%3D%22559%22%3E%20using%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222567240%22%20data-d%3D%22280%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222567560%22%20data-d%3D%22240%22%3E%20control%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222567880%22%20data-d%3D%22839%22%3E%20profiler.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A49%22%3E%3CSPAN%20data-m%3D%222569320%22%20data-d%3D%22199%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222569520%22%20data-d%3D%22360%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222570000%22%20data-d%3D%22239%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222570280%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222570440%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222570640%22%20data-d%3D%22440%22%3E%20mentioned%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222571160%22%20data-d%3D%22720%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A52%22%3E%3CSPAN%20data-m%3D%222572640%22%20data-d%3D%22200%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222572840%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222573040%22%20data-d%3D%22280%22%3E%20control%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222573400%22%20data-d%3D%22920%22%3E%20profiler%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222574480%22%20data-d%3D%22280%22%3E%20once%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222574800%22%20data-d%3D%22319%22%3E%20again%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222575400%22%20data-d%3D%22199%22%3E%20I%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222575640%22%20data-d%3D%22120%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222575800%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222576040%22%20data-d%3D%22240%22%3E%20X-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222576360%22%20data-d%3D%22679%22%3Eaxis%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A42%3A59%22%3E%3CSPAN%20data-m%3D%222579240%22%20data-d%3D%22360%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222579960%22%20data-d%3D%22639%22%3Ewelding%20speed%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222581160%22%20data-d%3D%22360%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222581520%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222581680%22%20data-d%3D%22240%22%3E%20Y-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222582000%22%20data-d%3D%22599%22%3Eaxis%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222582680%22%20data-d%3D%22280%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222582960%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222583120%22%20data-d%3D%22480%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222584200%22%20data-d%3D%22600%22%3Elaser%20power.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A05%22%3E%3CSPAN%20data-m%3D%222585120%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222585480%22%20data-d%3D%22280%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222585800%22%20data-d%3D%221239%22%3E%20reproduced%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A08%22%3E%3CSPAN%20data-m%3D%222588080%22%20data-d%3D%22400%22%3Emy%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222588520%22%20data-d%3D%22599%22%3E%20area%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222589640%22%20data-d%3D%22360%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222590040%22%20data-d%3D%22639%22%3E%20irregular%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222590760%22%20data-d%3D%22639%22%3E%20area%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A12%22%3E%3CSPAN%20data-m%3D%222592560%22%20data-d%3D%22360%22%3Ewhere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222592960%22%20data-d%3D%22159%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222593120%22%20data-d%3D%22160%22%3E%20am%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222593320%22%20data-d%3D%22440%22%3E%20defect-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222593800%22%20data-d%3D%22519%22%3Efree.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A14%22%3E%3CSPAN%20data-m%3D%222594840%22%20data-d%3D%22159%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222595040%22%20data-d%3D%22119%22%3E%20do%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222595200%22%20data-d%3D%22600%22%3E%20that%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A17%22%3E%3CSPAN%20data-m%3D%222597240%22%20data-d%3D%22360%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222597600%22%20data-d%3D%22280%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222597920%22%20data-d%3D%22759%22%3E%20simply%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A19%22%3E%3CSPAN%20data-m%3D%222599400%22%20data-d%3D%22599%22%3Eimplement%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222600040%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222600240%22%20data-d%3D%22840%22%3E%20script.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A25%22%3E%3CSPAN%20data-m%3D%222605320%22%20data-d%3D%22239%22%3EHere%20is%20a%20list%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222605600%22%20data-d%3D%22519%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222606280%22%20data-d%3D%22439%22%3E%20points%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A27%22%3E%3CSPAN%20data-m%3D%222607360%22%20data-d%3D%22359%22%3Eand%20I%20just%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222607840%22%20data-d%3D%22359%22%3E%20asked%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222608280%22%20data-d%3D%22399%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222609760%22%20data-d%3D%22399%22%3E%20to%20use%20this%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222610280%22%20data-d%3D%22279%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222610600%22%20data-d%3D%22160%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222610800%22%20data-d%3D%22559%22%3E%20draw%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222612280%22%20data-d%3D%22319%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222612600%22%20data-d%3D%22880%22%3E%20polygon.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A34%22%3E%3CSPAN%20data-m%3D%222614920%22%20data-d%3D%22119%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222615080%22%20data-d%3D%22119%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222615200%22%20data-d%3D%22320%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222615600%22%20data-d%3D%22280%22%3E%20black%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222615920%22%20data-d%3D%22559%22%3E%20area%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222616640%22%20data-d%3D%22400%22%3E%20where%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222617120%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222617320%22%20data-d%3D%22359%22%3E%20am%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222617800%22%20data-d%3D%22399%22%3E%20defect-%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222618280%22%20data-d%3D%22599%22%3Efree.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A39%22%3E%3CSPAN%20data-m%3D%222619360%22%20data-d%3D%22359%22%3EOn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222619760%22%20data-d%3D%22199%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222620000%22%20data-d%3D%22719%22%3E%20drawing%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222621720%22%20data-d%3D%22280%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222622040%22%20data-d%3D%22240%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222622320%22%20data-d%3D%22399%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222622840%22%20data-d%3D%221119%22%3E%20inserted%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222624400%22%20data-d%3D%22400%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222624880%22%20data-d%3D%22319%22%3E%20ISO%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222625240%22%20data-d%3D%22880%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222626440%22%20data-d%3D%22840%22%3E%20curve.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A48%22%3E%3CSPAN%20data-m%3D%222628600%22%20data-d%3D%22320%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222629000%22%20data-d%3D%22239%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222629320%22%20data-d%3D%22440%22%3E%20red%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222629880%22%20data-d%3D%22279%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222630200%22%20data-d%3D%22200%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222630400%22%20data-d%3D%22159%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222630600%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222630800%22%20data-d%3D%22599%22%3E%20values%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222631440%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222631680%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222632280%22%20data-d%3D%22679%22%3EISO%20resistance.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A43%3A53%22%3E%3CSPAN%20data-m%3D%222633600%22%20data-d%3D%22200%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222633840%22%20data-d%3D%22159%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222634040%22%20data-d%3D%22199%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222634240%22%20data-d%3D%22600%22%3E%20that%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222636360%22%20data-d%3D%22519%22%3Ehere%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222636960%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222637200%22%20data-d%3D%22160%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222637400%22%20data-d%3D%22599%22%3E%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222638520%22%20data-d%3D%22679%22%3E%2050%20percent%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222639240%22%20data-d%3D%22520%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222639800%22%20data-d%3D%22359%22%3E%20nearly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222640240%22%20data-d%3D%221600%22%3E%20100%20percent.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A03%22%3E%3CSPAN%20data-m%3D%222643680%22%20data-d%3D%22200%22%3EBefore%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222643960%22%20data-d%3D%22159%22%3E%20doing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222644160%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222644320%22%20data-d%3D%22679%22%3E%20optimization%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222645120%22%20data-d%3D%22240%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222645360%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222645520%22%20data-d%3D%22119%22%3E%20add%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222645680%22%20data-d%3D%22280%22%3E%20another%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222646040%22%20data-d%3D%22800%22%3E%20constraint.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A07%22%3E%3CSPAN%20data-m%3D%222647200%22%20data-d%3D%22400%22%3EIt's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222647640%22%20data-d%3D%22160%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222647800%22%20data-d%3D%22599%22%3E%20enough.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A11%22%3E%3CSPAN%20data-m%3D%222651760%22%20data-d%3D%22319%22%3EFrom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222652120%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222652280%22%20data-d%3D%22599%22%3E%20productivity%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222652960%22%20data-d%3D%22279%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222653280%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222653440%22%20data-d%3D%22239%22%3E%20view%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A13%22%3E%3CSPAN%20data-m%3D%222653960%22%20data-d%3D%22239%22%3Ewe%20want%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222654240%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222654480%22%20data-d%3D%22320%22%3E%20course%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222654880%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222655120%22%20data-d%3D%22240%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222655440%22%20data-d%3D%22199%22%3E%20as%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222655640%22%20data-d%3D%22200%22%3E%20fast%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222656120%22%20data-d%3D%22640%22%3E%20as%20possible%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222656920%22%20data-d%3D%22360%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222657320%22%20data-d%3D%22239%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222657600%22%20data-d%3D%22240%22%3E%20want%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222657920%22%20data-d%3D%22360%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222658360%22%20data-d%3D%22639%22%3E%20have%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A20%22%3E%3CSPAN%20data-m%3D%222660640%22%20data-d%3D%22320%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222661000%22%20data-d%3D%22320%22%3E%20highest%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222661800%22%20data-d%3D%22679%22%3Ewelding%20speed.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A23%22%3E%3CSPAN%20data-m%3D%222663360%22%20data-d%3D%22279%22%3EUsing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222663720%22%20data-d%3D%22200%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222663920%22%20data-d%3D%22199%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222664160%22%20data-d%3D%22559%22%3E%20information%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222664880%22%20data-d%3D%22359%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222665280%22%20data-d%3D%22279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222665640%22%20data-d%3D%22880%22%3Eselected%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A26%22%3E%3CSPAN%20data-m%3D%222666680%22%20data-d%3D%22320%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222667040%22%20data-d%3D%22280%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222667360%22%20data-d%3D%22359%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222667800%22%20data-d%3D%22159%22%3E%20six%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222667960%22%20data-d%3D%22159%22%3E%20kilowatts%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222668120%22%20data-d%3D%22160%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222668280%22%20data-d%3D%22159%22%3E%2011%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222668480%22%20data-d%3D%22159%22%3E%20meters%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222668640%22%20data-d%3D%22160%22%3E%20per%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222668800%22%20data-d%3D%221759%22%3E%20minute.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A30%22%3E%3CSPAN%20data-m%3D%222670960%22%20data-d%3D%22159%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222671120%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222671320%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222671480%22%20data-d%3D%22280%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222671800%22%20data-d%3D%22199%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222672040%22%20data-d%3D%22159%22%3E%20has%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222672200%22%20data-d%3D%22600%22%3E%20been%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222672960%22%20data-d%3D%22679%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222673760%22%20data-d%3D%22639%22%3E%20here.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A36%22%3E%3CSPAN%20data-m%3D%222676760%22%20data-d%3D%22239%22%3EWhy%3F%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A37%22%3E%3CSPAN%20data-m%3D%222677040%22%20data-d%3D%22280%22%3EBecause%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222677400%22%20data-d%3D%22199%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222677640%22%20data-d%3D%22240%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222677960%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222678160%22%20data-d%3D%22559%22%3E%20located%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222678800%22%20data-d%3D%22639%22%3E%20in%20the%20black%20area%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A41%22%3E%3CSPAN%20data-m%3D%222681320%22%20data-d%3D%22639%22%3E%20where%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222682520%22%20data-d%3D%22360%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222682880%22%20data-d%3D%22199%22%3E%20w%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222683120%22%20data-d%3D%22200%22%3Eeld%20seam%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222683360%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222683560%22%20data-d%3D%22159%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222683720%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222683920%22%20data-d%3D%22759%22%3E%20defect.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A45%22%3E%3CSPAN%20data-m%3D%222685360%22%20data-d%3D%22319%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222685720%22%20data-d%3D%22160%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222685920%22%20data-d%3D%22319%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222686320%22%20data-d%3D%22359%22%3E%20using%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222686760%22%20data-d%3D%22199%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222687000%22%20data-d%3D%22400%22%3E%20model%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222689320%22%20data-d%3D%22359%22%3E%20that%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222689720%22%20data-d%3D%22320%22%3E%20expect%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222690120%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222690360%22%20data-d%3D%22199%22%3E%20point%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A50%22%3E%3CSPAN%20data-m%3D%222690600%22%20data-d%3D%22200%22%3Eto%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222690800%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222691000%22%20data-d%3D%22119%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222691120%22%20data-d%3D%22160%22%3E%20least%20a%20resistance%20of%2090%20percent%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222692920%22%20data-d%3D%22239%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222693160%22%20data-d%3D%22920%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222694120%22%20data-d%3D%22440%22%3E%20resistance%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A54%22%3E%3CSPAN%20data-m%3D%222694600%22%20data-d%3D%22160%22%3Eof%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222694800%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222694960%22%20data-d%3D%22199%22%3E%20best%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222695240%22%20data-d%3D%22720%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A44%3A56%22%3E%3CSPAN%20data-m%3D%222696440%22%20data-d%3D%22159%22%3EWhat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222696640%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222696800%22%20data-d%3D%22399%22%3E%20interesting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222697320%22%20data-d%3D%22359%22%3Ealso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222697720%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222697960%22%20data-d%3D%22159%22%3E%20at%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222698160%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222698400%22%20data-d%3D%22599%22%3E%20point%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A01%22%3E%3CSPAN%20data-m%3D%222701080%22%20data-d%3D%22360%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222701480%22%20data-d%3D%22239%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222701760%22%20data-d%3D%22559%22%3E%20enough%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222702480%22%20data-d%3D%22759%22%3E%20safety%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222703360%22%20data-d%3D%22679%22%3E%20merging%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222704120%22%20data-d%3D%22320%22%3E%20around%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222704520%22%20data-d%3D%22199%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222704760%22%20data-d%3D%22599%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A06%22%3E%3CSPAN%20data-m%3D%222706280%22%20data-d%3D%22119%22%3EOf%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222706440%22%20data-d%3D%22279%22%3E%20course%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222706800%22%20data-d%3D%22199%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222707000%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222707200%22%20data-d%3D%22480%22%3E%20tested%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222707760%22%20data-d%3D%22279%22%3E%20this%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222708520%22%20data-d%3D%22400%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222709040%22%20data-d%3D%22240%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222709280%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222709440%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222709600%22%20data-d%3D%22240%22%3E%20result.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A09%22%3E%3CSPAN%20data-m%3D%222709920%22%20data-d%3D%22199%22%3EBut%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222710120%22%20data-d%3D%22240%22%3E%20I'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222710360%22%20data-d%3D%22159%22%3E%20going%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222710560%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222710760%22%20data-d%3D%22199%22%3E%20show%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222710960%22%20data-d%3D%22320%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222711360%22%20data-d%3D%22199%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222711600%22%20data-d%3D%22480%22%3E%20now.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A12%22%3E%3CSPAN%20data-m%3D%222712480%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222712640%22%20data-d%3D%22200%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222712880%22%20data-d%3D%22119%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222713040%22%20data-d%3D%22119%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222713200%22%20data-d%3D%22240%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222713520%22%20data-d%3D%22960%22%3E%20presentation%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222715360%22%20data-d%3D%22440%22%3E%20which%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222715840%22%20data-d%3D%22639%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222717560%22%20data-d%3D%22880%22%3Elocated%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222719480%22%20data-d%3D%22759%22%3Ehere.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A33%22%3E%3CSPAN%20data-m%3D%222733440%22%20data-d%3D%22239%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222733720%22%20data-d%3D%22200%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222733960%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222734160%22%20data-d%3D%22360%22%3E%20result%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222734600%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222734800%22%20data-d%3D%22319%22%3E%20the%20optimal%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222735800%22%20data-d%3D%22319%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222736160%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222736360%22%20data-d%3D%22119%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222736520%22%20data-d%3D%22559%22%3E%20choosing.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A37%22%3E%3CSPAN%20data-m%3D%222737800%22%20data-d%3D%22279%22%3EFirst%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222738120%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222738280%22%20data-d%3D%22559%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222739160%22%20data-d%3D%22280%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222739480%22%20data-d%3D%22199%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222739720%22%20data-d%3D%22600%22%3E%20slide%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222740480%22%20data-d%3D%22280%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222740760%22%20data-d%3D%22239%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222741040%22%20data-d%3D%22599%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222742040%22%20data-d%3D%22320%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222742400%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222742560%22%20data-d%3D%22240%22%3E%20left%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222742840%22%20data-d%3D%22440%22%3E%20part%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A43%22%3E%3CSPAN%20data-m%3D%222743400%22%20data-d%3D%22239%22%3Ethe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222743680%22%20data-d%3D%22519%22%3E%20upper%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222744280%22%20data-d%3D%22319%22%3E%20w%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222744640%22%20data-d%3D%22440%22%3Eeld%20bead%20pictures%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A46%22%3E%3CSPAN%20data-m%3D%222746000%22%20data-d%3D%22280%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222746320%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222746640%22%20data-d%3D%22400%22%3E%20right%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222747160%22%20data-d%3D%22559%22%3E%20side%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222747880%22%20data-d%3D%22279%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222748200%22%20data-d%3D%22320%22%3E%20lower%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222749080%22%20data-d%3D%22680%22%3Eweld%20bead%20pictures.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A50%22%3E%3CSPAN%20data-m%3D%222750200%22%20data-d%3D%22160%22%3EYou%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222750360%22%20data-d%3D%22199%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222750600%22%20data-d%3D%22200%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222750840%22%20data-d%3D%22599%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222752160%22%20data-d%3D%22360%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222752520%22%20data-d%3D%22199%22%3E%20weld%20seam%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222753120%22%20data-d%3D%22200%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222753360%22%20data-d%3D%22440%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222753920%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222754200%22%20data-d%3D%22600%22%3E%20defect.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A45%3A54%22%3E%3CSPAN%20data-m%3D%222754960%22%20data-d%3D%22239%22%3EWe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222755240%22%20data-d%3D%22160%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222755400%22%20data-d%3D%22239%22%3E%20no%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222755680%22%20data-d%3D%22600%22%3E%20patterns%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222756280%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222756440%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222756640%22%20data-d%3D%22240%22%3E%20no%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222756960%22%20data-d%3D%22519%22%3E%20droplet%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222757480%22%20data-d%3D%22199%22%3E%20no%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222757680%22%20data-d%3D%22240%22%3E%20chain%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222757920%22%20data-d%3D%22199%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222758160%22%20data-d%3D%22280%22%3E%20pearl%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222758520%22%20data-d%3D%22240%22%3E%20no%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222758800%22%20data-d%3D%22519%22%3E%20holes%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222759440%22%20data-d%3D%22239%22%3E%20et%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222759680%22%20data-d%3D%22320%22%3E%20cetera.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A00%22%3E%3CSPAN%20data-m%3D%222760200%22%20data-d%3D%22120%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222760360%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222760520%22%20data-d%3D%22159%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222760680%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222760880%22%20data-d%3D%22559%22%3E%20wanted.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A02%22%3E%3CSPAN%20data-m%3D%222762680%22%20data-d%3D%22640%22%3EFrom%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222763480%22%20data-d%3D%22320%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222763800%22%20data-d%3D%22599%22%3E%20resistance%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222764480%22%20data-d%3D%22239%22%3E%20point%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222764760%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222764920%22%20data-d%3D%22559%22%3E%20view%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222765920%22%20data-d%3D%22400%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222766360%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222766480%22%20data-d%3D%22599%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222767240%22%20data-d%3D%22320%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222767600%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222767760%22%20data-d%3D%22279%22%3E%20focus%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222768080%22%20data-d%3D%22200%22%3E%20on%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222768320%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222768480%22%20data-d%3D%22719%22%3E%20pictures%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A10%22%3E%3CSPAN%20data-m%3D%222770520%22%20data-d%3D%22360%22%3Ewe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222770920%22%20data-d%3D%22239%22%3E%20can%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222771240%22%20data-d%3D%22280%22%3E%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222771560%22%20data-d%3D%22639%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222773960%22%20data-d%3D%22279%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222774280%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222774440%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222774600%22%20data-d%3D%22440%22%3E%20material%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222775480%22%20data-d%3D%22679%22%3E%20that%20breaks%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A16%22%3E%3CSPAN%20data-m%3D%222776280%22%20data-d%3D%22239%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222776560%22%20data-d%3D%22200%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222776800%22%20data-d%3D%22239%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222777120%22%20data-d%3D%22200%22%3E%20not%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222777360%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222777640%22%20data-d%3D%22720%22%3E%20weld%20seam%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222778760%22%20data-d%3D%22559%22%3E%20opens%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222779440%22%20data-d%3D%22239%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222779720%22%20data-d%3D%22160%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222779880%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222780080%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222780240%22%20data-d%3D%22240%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222780520%22%20data-d%3D%22199%22%3E%20good%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222780760%22%20data-d%3D%22519%22%3E%20point.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A21%22%3E%3CSPAN%20data-m%3D%222781720%22%20data-d%3D%22720%22%3EConcerning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222782480%22%20data-d%3D%22239%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222782760%22%20data-d%3D%22879%22%3E%20resistance%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222783840%22%20data-d%3D%22319%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222784200%22%20data-d%3D%22240%22%3E%20can%20see%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222784920%22%20data-d%3D%22639%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222787280%22%20data-d%3D%22399%22%3E%20each%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222787720%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222787960%22%20data-d%3D%22360%22%3E%20them%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A32%22%3E%3CSPAN%20data-m%3D%222792000%22%20data-d%3D%221559%22%3Eare%20higher%20than%2090%20percent.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A36%22%3E%3CSPAN%20data-m%3D%222796880%22%20data-d%3D%22199%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222797120%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222797280%22%20data-d%3D%22599%22%3E%20exactly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222798200%22%20data-d%3D%22320%22%3E%20what%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222798560%22%20data-d%3D%22159%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222798720%22%20data-d%3D%22360%22%3E%20wanted%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A39%22%3E%3CSPAN%20data-m%3D%222799840%22%20data-d%3D%22279%22%3Elet's%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222800120%22%20data-d%3D%22160%22%3E%20say%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222800280%22%20data-d%3D%22359%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222800720%22%20data-d%3D%22160%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222800920%22%20data-d%3D%22119%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222801080%22%20data-d%3D%22639%22%3Eachieved%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222801840%22%20data-d%3D%22359%22%3E%20our%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222802240%22%20data-d%3D%22800%22%3E%20target.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A47%22%3E%3CSPAN%20data-m%3D%222807320%22%20data-d%3D%22319%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222807640%22%20data-d%3D%22160%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222807840%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222808040%22%20data-d%3D%22199%22%3E%20end%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222808240%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222808440%22%20data-d%3D%22159%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222808600%22%20data-d%3D%22599%22%3E%20presentation.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222809280%22%20data-d%3D%22199%22%3E%20This%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222809520%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222809680%22%20data-d%3D%22200%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222809920%22%20data-d%3D%22199%22%3E%20time%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222810160%22%20data-d%3D%22440%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222810720%22%20data-d%3D%22920%22%3E%20conclude.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A52%22%3E%3CSPAN%20data-m%3D%222812160%22%20data-d%3D%22400%22%3EFirst%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222812600%22%20data-d%3D%22160%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222812760%22%20data-d%3D%22559%22%3E%20all%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222813640%22%20data-d%3D%22360%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222814000%22%20data-d%3D%22159%22%3E%20go%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222814200%22%20data-d%3D%22160%22%3E%20back%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222814360%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222814560%22%20data-d%3D%22159%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222814760%22%20data-d%3D%22239%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222815080%22%20data-d%3D%22440%22%3E%20journal%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222815600%22%20data-d%3D%22200%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222815800%22%20data-d%3D%22159%22%3E%20would%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222816000%22%20data-d%3D%22159%22%3E%20like%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222816200%22%20data-d%3D%22480%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222816800%22%20data-d%3D%22439%22%3E%20mention%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222817320%22%20data-d%3D%22639%22%3E%20that%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A46%3A59%22%3E%3CSPAN%20data-m%3D%222819120%22%20data-d%3D%22360%22%3Ewith%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222819520%22%20data-d%3D%22360%22%3E%20this%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222819960%22%20data-d%3D%22880%22%3E%20presentation%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222820960%22%20data-d%3D%22320%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222821320%22%20data-d%3D%22279%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222821640%22%20data-d%3D%22240%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222821920%22%20data-d%3D%22639%22%3E%20possibility%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222822720%22%20data-d%3D%22440%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222823240%22%20data-d%3D%22800%22%3E%20download%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222824240%22%20data-d%3D%22320%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222824600%22%20data-d%3D%22720%22%3E%20article%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A06%22%3E%3CSPAN%20data-m%3D%222826800%22%20data-d%3D%22359%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222827200%22%20data-d%3D%22120%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222827360%22%20data-d%3D%22159%22%3E%20be%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222827560%22%20data-d%3D%22639%22%3E%20located%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A10%22%3E%3CSPAN%20data-m%3D%222830320%22%20data-d%3D%22359%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222830720%22%20data-d%3D%22160%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222830880%22%20data-d%3D%22559%22%3E%20website.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A19%22%3E%3CSPAN%20data-m%3D%222839160%22%20data-d%3D%22240%22%3EHere%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222839480%22%20data-d%3D%22119%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222839640%22%20data-d%3D%22120%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222839800%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222839920%22%20data-d%3D%22239%22%3E%20full%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222840240%22%20data-d%3D%22560%22%3E%20article%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222840920%22%20data-d%3D%22960%22%3E%20explaining%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222842200%22%20data-d%3D%22320%22%3E%20all%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222842560%22%20data-d%3D%22159%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222842720%22%20data-d%3D%22160%22%3E%20case%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222842920%22%20data-d%3D%22400%22%3E%20studies.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A23%22%3E%3CSPAN%20data-m%3D%222843360%22%20data-d%3D%22199%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222843560%22%20data-d%3D%22159%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222843760%22%20data-d%3D%22479%22%3E%20added%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222844320%22%20data-d%3D%22719%22%3E%20additional%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222845360%22%20data-d%3D%22719%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A26%22%3E%3CSPAN%20data-m%3D%222846640%22%20data-d%3D%22200%22%3EIf%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222846880%22%20data-d%3D%22119%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222847000%22%20data-d%3D%22400%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222847520%22%20data-d%3D%22519%22%3E%20interested%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222848160%22%20data-d%3D%22240%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222848440%22%20data-d%3D%22480%22%3E%20knowing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222849000%22%20data-d%3D%22400%22%3E%20more%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222849800%22%20data-d%3D%22359%22%3E%20please%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222850240%22%20data-d%3D%22200%22%3E%20feel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222850480%22%20data-d%3D%22199%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222850760%22%20data-d%3D%22639%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222851560%22%20data-d%3D%22519%22%3E%20download%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222852120%22%20data-d%3D%22599%22%3E%20it.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A35%22%3E%3CSPAN%20data-m%3D%222855560%22%20data-d%3D%22760%22%3EA%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222857000%22%20data-d%3D%22320%22%3Es%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222857360%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222857480%22%20data-d%3D%22719%22%3E%20conclusion%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222858320%22%20data-d%3D%22279%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222858640%22%20data-d%3D%22160%22%3E%20would%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222858800%22%20data-d%3D%22159%22%3E%20like%20to%20mention%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A39%22%3E%3CSPAN%20data-m%3D%222859680%22%20data-d%3D%22440%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222860200%22%20data-d%3D%22240%22%3E%20if%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222860480%22%20data-d%3D%22159%22%3E%20some%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222860680%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222860880%22%20data-d%3D%22239%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222861160%22%20data-d%3D%22240%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222861480%22%20data-d%3D%22400%22%3Einterested%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222862000%22%20data-d%3D%22280%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222862320%22%20data-d%3D%22279%22%3E%20knowing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222862680%22%20data-d%3D%22360%22%3E%20more%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222863120%22%20data-d%3D%22320%22%3E%20about%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222863480%22%20data-d%3D%22679%22%3E%20covariates%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A44%22%3E%3CSPAN%20data-m%3D%222864280%22%20data-d%3D%22239%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222864560%22%20data-d%3D%22159%22%3E%20would%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222864720%22%20data-d%3D%22200%22%3E%20like%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222864960%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222865160%22%20data-d%3D%22559%22%3E%20mention%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222866120%22%20data-d%3D%22400%22%3E%20two%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222866560%22%20data-d%3D%22480%22%3E%20available%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222867160%22%20data-d%3D%22800%22%3E%20sources.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A50%22%3E%3CSPAN%20data-m%3D%222870160%22%20data-d%3D%22160%22%3EThe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222870320%22%20data-d%3D%22239%22%3E%20first%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222870640%22%20data-d%3D%22200%22%3E%20one%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222870880%22%20data-d%3D%22199%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222871080%22%20data-d%3D%22200%22%3E%20an%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222871320%22%20data-d%3D%22359%22%3E%20article%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222871760%22%20data-d%3D%22199%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222872000%22%20data-d%3D%22159%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222872160%22%20data-d%3D%22240%22%3Ecan%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222872440%22%20data-d%3D%22199%22%3E%20find%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A52%22%3E%3CSPAN%20data-m%3D%222872680%22%20data-d%3D%22200%22%3Eon%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222872880%22%20data-d%3D%22159%22%3E%20the%20JMP%20user%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222873760%22%20data-d%3D%22599%22%3E%20community%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A53%22%3E%3CSPAN%20data-m%3D%222873760%22%20data-d%3D%22599%22%3Eentitled%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A47%3A56%22%3E%3CSPAN%20data-m%3D%222876440%22%20data-d%3D%22320%22%3E%20%22What%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222876800%22%20data-d%3D%22119%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222877760%22%20data-d%3D%22199%22%3Ea%20covariate%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222878000%22%20data-d%3D%22159%22%3E%20design%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222878200%22%20data-d%3D%22200%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222878440%22%20data-d%3D%22920%22%3E%20experiments%3F%22%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A00%22%3E%3CSPAN%20data-m%3D%222880200%22%20data-d%3D%22760%22%3EAlso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222881480%22%20data-d%3D%22360%22%3E%20from%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222881880%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222882120%22%20data-d%3D%22280%22%3E%20same%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222882440%22%20data-d%3D%22519%22%3E%20offer%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A03%22%3E%3CSPAN%20data-m%3D%222883440%22%20data-d%3D%22239%22%3E%20you%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222883720%22%20data-d%3D%22200%22%3E%20have%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222883920%22%20data-d%3D%22119%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222884080%22%20data-d%3D%22559%22%3E%20webinar%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222884720%22%20data-d%3D%22840%22%3Eentitled%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222885720%22%20data-d%3D%22280%22%3E%20%22H%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222886760%22%20data-d%3D%22639%22%3Eandling%20Covariates%20E%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222887600%22%20data-d%3D%22760%22%3Effectively%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A08%22%3E%3CSPAN%20data-m%3D%222888400%22%20data-d%3D%22199%22%3Ewhen%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222888640%22%20data-d%3D%22599%22%3E%20Designing%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222889280%22%20data-d%3D%221039%22%3E%20Experiments.%22%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A14%22%3E%3CSPAN%20data-m%3D%222894000%22%20data-d%3D%22360%22%3ETo%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222894400%22%20data-d%3D%221000%22%3E%20conclude%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222897680%22%20data-d%3D%22200%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222897880%22%20data-d%3D%22239%22%3E%20put%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222898160%22%20data-d%3D%22200%22%3E%20here%20a%20quote%20from%20Mark%20Twain%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A21%22%3E%3CSPAN%20data-m%3D%222901200%22%20data-d%3D%22519%22%3Ethat%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222901800%22%20data-d%3D%22759%22%3E%20humorously%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222902640%22%20data-d%3D%22320%22%3E%20tells%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222902960%22%20data-d%3D%22239%22%3E%20us%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222903280%22%20data-d%3D%22359%22%3E%20that%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A23%22%3E%3CSPAN%20data-m%3D%222903720%22%20data-d%3D%22640%22%3E%22Facts%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222904440%22%20data-d%3D%22159%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222904640%22%20data-d%3D%22400%22%3Estubborn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222905120%22%20data-d%3D%22320%22%3E%20things%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222905520%22%20data-d%3D%22240%22%3E%20but%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222905800%22%20data-d%3D%22879%22%3E%20statistics%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222906800%22%20data-d%3D%22399%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222907280%22%20data-d%3D%22799%22%3Epliable%22%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A29%22%3E%3CSPAN%20data-m%3D%222909240%22%20data-d%3D%22560%22%3EInspired%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222909880%22%20data-d%3D%22239%22%3E%20by%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222910160%22%20data-d%3D%22200%22%3E%20Mark%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222910400%22%20data-d%3D%22360%22%3E%20Twain%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A30%22%3E%3CSPAN%20data-m%3D%222910800%22%20data-d%3D%22159%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222911000%22%20data-d%3D%2279%22%3E%20would%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222911120%22%20data-d%3D%22119%22%3E%20like%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222911280%22%20data-d%3D%22119%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222911400%22%20data-d%3D%22159%22%3E%20say%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222911560%22%20data-d%3D%22240%22%3E%20that%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222911840%22%20data-d%3D%22559%22%3E%20facts%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222912480%22%20data-d%3D%22320%22%3E%20are%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222912840%22%20data-d%3D%22519%22%3E%20certainly%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222913520%22%20data-d%3D%22480%22%3E%20stubborn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222914080%22%20data-d%3D%22480%22%3E%20things%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A34%22%3E%3CSPAN%20data-m%3D%222914720%22%20data-d%3D%22400%22%3Emeaning%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222915200%22%20data-d%3D%22519%22%3E%20complex%2C%20but%20don't%20panic%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A37%22%3E%3CSPAN%20data-m%3D%222917600%22%20data-d%3D%22320%22%3E%20because%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222917960%22%20data-d%3D%22199%22%3E%20in%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222918160%22%20data-d%3D%22600%22%3E%20fact%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222919480%22%20data-d%3D%22440%22%3E%20JMP%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222920000%22%20data-d%3D%22239%22%3E%20can%20easily%20adapt%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222922280%22%20data-d%3D%22399%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222922760%22%20data-d%3D%22199%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222923000%22%20data-d%3D%22639%22%3E%20reality%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222923760%22%20data-d%3D%22279%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222924040%22%20data-d%3D%22119%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222924200%22%20data-d%3D%22440%22%3E%20field.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A44%22%3E%3CSPAN%20data-m%3D%222924800%22%20data-d%3D%22239%22%3EIn%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222925080%22%20data-d%3D%22159%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222925280%22%20data-d%3D%22599%22%3E%20case%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A47%22%3E%3CSPAN%20data-m%3D%222927000%22%20data-d%3D%22320%22%3Ehe%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222927360%22%20data-d%3D%22159%22%3E%20was%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222927560%22%20data-d%3D%22280%22%3E%20able%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222927920%22%20data-d%3D%22599%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222928720%22%20data-d%3D%22400%22%3E%20adapt%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222930360%22%20data-d%3D%22359%22%3E%20to%20a%20very%20irregular%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222930760%22%20data-d%3D%22519%22%3E%20area%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A51%22%3E%3CSPAN%20data-m%3D%222931440%22%20data-d%3D%22440%22%3Eand%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222931960%22%20data-d%3D%22320%22%3E%20also%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222932360%22%20data-d%3D%22159%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222932520%22%20data-d%3D%22159%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222932680%22%20data-d%3D%22600%22%3E%20very%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222934360%22%20data-d%3D%22679%22%3Eimperfect%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222935120%22%20data-d%3D%22880%22%3E%20study%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222936120%22%20data-d%3D%22760%22%3E%20material.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A48%3A59%22%3E%3CSPAN%20data-m%3D%222939200%22%20data-d%3D%22280%22%3EThis%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222939480%22%20data-d%3D%22159%22%3E%20is%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222939640%22%20data-d%3D%22120%22%3E%20the%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222939800%22%20data-d%3D%22119%22%3E%20end%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222939960%22%20data-d%3D%22119%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222940080%22%20data-d%3D%22159%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222940280%22%20data-d%3D%22719%22%3E%20presentation.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A49%3A01%22%3E%3CSPAN%20data-m%3D%222941120%22%20data-d%3D%22240%22%3EI%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222941400%22%20data-d%3D%22159%22%3E%20will%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222941560%22%20data-d%3D%22280%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222941880%22%20data-d%3D%22719%22%3E%20answer%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222942800%22%20data-d%3D%22319%22%3E%20your%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222943160%22%20data-d%3D%22640%22%3E%20question%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222944000%22%20data-d%3D%22599%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222944720%22%20data-d%3D%22560%22%3E%20please%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222945440%22%20data-d%3D%22239%22%3Efeel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222945720%22%20data-d%3D%22160%22%3E%20free%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222945920%22%20data-d%3D%22199%22%3E%20to%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222946120%22%20data-d%3D%22440%22%3E%20ask.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A49%3A06%22%3E%3CSPAN%20data-m%3D%222946680%22%20data-d%3D%22280%22%3EIf%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222946960%22%20data-d%3D%22119%22%3E%20we%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222947120%22%20data-d%3D%22160%22%3E%20run%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222947320%22%20data-d%3D%22159%22%3E%20out%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222947520%22%20data-d%3D%22159%22%3E%20of%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222947720%22%20data-d%3D%22560%22%3E%20time%2C%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222948400%22%20data-d%3D%22279%22%3E%20I%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222948720%22%20data-d%3D%22360%22%3Ementioned%20here%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222950160%22%20data-d%3D%22280%22%3E%20my%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222950480%22%20data-d%3D%22320%22%3E%20contact%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222950880%22%20data-d%3D%22679%22%3Einformation%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A49%3A11%22%3E%3CSPAN%20data-m%3D%222951720%22%20data-d%3D%22519%22%3Eso%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222952320%22%20data-d%3D%22359%22%3E%20please%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222952760%22%20data-d%3D%22199%22%3E%20feel%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222953000%22%20data-d%3D%22599%22%3E%20free%20to%20contact%20me%2C%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A49%3A16%22%3E%3CSPAN%20data-m%3D%222956200%22%20data-d%3D%22560%22%3E%20and%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222956880%22%20data-d%3D%22279%22%3E%20so%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222957160%22%20data-d%3D%22240%22%3E%20I'm%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222957400%22%20data-d%3D%22319%22%3Ewaiting%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222957760%22%20data-d%3D%22199%22%3E%20now%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222958000%22%20data-d%3D%22519%22%3E%20for%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222958680%22%20data-d%3D%22280%22%3E%20your%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222958960%22%20data-d%3D%22599%22%3E%20question.%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%20data-tc%3D%2200%3A49%3A19%22%3E%3CSPAN%20data-m%3D%222959880%22%20data-d%3D%22359%22%3EThanks%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222960280%22%20data-d%3D%2279%22%3E%20a%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222960360%22%20data-d%3D%22239%22%3E%20lot.%20%3C%2FSPAN%3E%20%3CSPAN%20data-m%3D%222960680%22%20data-d%3D%22200%22%3E%20Bye%20bye.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FSECTION%3E%0A%3C%2FARTICLE%3E%0A%3C%2FDIV%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%201%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E1.%20Background%20and%20introduction%3C%2FSTRONG%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%3ESteel%20strip%20manufacturing%20ever%20reinvents%20itself%20by%20propositing%20new%20metallurgical%20concepts%2C%20requiring%20to%20tackle%20technical%20limitations%20of%20production%20systems.%20As%20a%20provider%20of%20mechatronic%20solutions%20for%20steel%20plate%20processing%2C%20Clecim%20SAS%20recently%20expanded%20its%20laser%20welder%20line%20with%20a%20next-generation%20machine%20capable%20of%20cutting%20and%20welding%20heavy%20plate%20using%20a%2012kW%20laser%20source.%20Addressing%20the%20usual%20drawbacks%20in%20maintenance%2C%20operation%20and%20safety%20of%20current%20welding%20system%20based%20on%20mechanical%20cutting%20and%20CO%3C%2FSPAN%3E%3CSPAN%3E2%20%3C%2FSPAN%3E%3CSPAN%3Elaser%20welding%2C%20the%20newly%20developped%20LW21H%20(Heavy)%20welding%20machine%20benefits%20from%20a%20smarter%20approach%20by%20processing%20thicker%20strips%20up%20to%209%20mm%20with%20solid-state%20laser%20cutting%20and%20welding.%20This%20new%20generation%20of%20welders%2C%20heir%20to%20Clecim%20SAS'%2020%20years%20of%20experience%20in%20welding%20and%20in%20particular%20its%20little%20sister%20-%20the%20LW21M%20(Medium)%20-%20pushes%20back%20the%20current%20limits%20of%20performance%20and%20technological%20drawbacks%20observed%20in%20solutions%20for%20thicker%20materials.%20It%20is%20materialized%20by%20a%201%3A1%20scale%20pilot%20designed%2C%20manufactured%20and%20tested%20in%20Clecim%20SAS%20workshops%20%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%201%3C%2FSPAN%3E%3CSPAN%3E.%5D%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-right%22%20image-alt%3D%22Figure%201b%20-%20A%20partial%20view%20of%20the%20inner%20part%20of%20the%20machine.%20Head%20and%20tail%20of%20the%20two%20plates%20will%20be%20cut%20by%20laser%20technology%20and%20then%20welded%20together.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%201b%20-%20A%20partial%20view%20of%20the%20inner%20part%20of%20the%20machine.%20Head%20and%20tail%20of%20the%20two%20plates%20will%20be%20cut%20by%20laser%20technology%20and%20then%20welded%20together.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43954i71952EA97C99D63A%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%222022-07-14_16-40-38.379.png%22%20alt%3D%22Figure%201b%20-%20A%20partial%20view%20of%20the%20inner%20part%20of%20the%20machine.%20Head%20and%20tail%20of%20the%20two%20plates%20will%20be%20cut%20by%20laser%20technology%20and%20then%20welded%20together.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%201b%20-%20A%20partial%20view%20of%20the%20inner%20part%20of%20the%20machine.%20Head%20and%20tail%20of%20the%20two%20plates%20will%20be%20cut%20by%20laser%20technology%20and%20then%20welded%20together.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%201b%20-%20A%20partial%20view%20of%20the%20inner%20part%20of%20the%20machine.%20Head%20and%20tail%20of%20the%20two%20plates%20will%20be%20cut%20by%20laser%20technology%20and%20then%20welded%20together.%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-right%22%20image-alt%3D%22Figure%201a%20%E2%80%93%20%20An%20external%20view%20of%20the%20containment%20of%20the%20heavy%20laser%20welder%20at%20Montbrison%20workshop.%20The%20size%20of%20the%20door%20gives%20an%20idea%20of%20the%20dimensions%20of%20this%20industrial%20welder.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%201a%20%E2%80%93%20%20An%20external%20view%20of%20the%20containment%20of%20the%20heavy%20laser%20welder%20at%20Montbrison%20workshop.%20The%20size%20of%20the%20door%20gives%20an%20idea%20of%20the%20dimensions%20of%20this%20industrial%20welder.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43956iBDEA4B659A9A66F3%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22image.png%22%20alt%3D%22Figure%201a%20%E2%80%93%20%20An%20external%20view%20of%20the%20containment%20of%20the%20heavy%20laser%20welder%20at%20Montbrison%20workshop.%20The%20size%20of%20the%20door%20gives%20an%20idea%20of%20the%20dimensions%20of%20this%20industrial%20welder.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%201a%20%E2%80%93%20%20An%20external%20view%20of%20the%20containment%20of%20the%20heavy%20laser%20welder%20at%20Montbrison%20workshop.%20The%20size%20of%20the%20door%20gives%20an%20idea%20of%20the%20dimensions%20of%20this%20industrial%20welder.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%201a%20%E2%80%93%20An%20external%20view%20of%20the%20containment%20of%20the%20heavy%20laser%20welder%20at%20Montbrison%20workshop.%20The%20size%20of%20the%20door%20gives%20an%20idea%20of%20the%20dimensions%20of%20this%20industrial%20welder.%3C%2FSPAN%3E%3C%2FSPAN%3E%3CP%3E%E2%80%83%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EIn%202019%2C%20the%20laser%20cutting%20process%20was%20extensively%20studied%20and%20the%20use%20of%20Machine%20Learning%20techniques%20allowed%20for%20the%20conception%20of%20a%20model%20able%20of%20delivering%20robust%20cutting%20presets%20across%20the%20thickness%20range.%20Today%2C%20the%20focus%20is%20on%20the%20laser%20welding%20process%20and%20the%20acquisition%20of%20high-quality%20data%20that%20will%20soon%20allow%20the%20creation%20of%20a%20welding%20model%2C%20the%20final%20step%20for%20a%20completely%20automated%20machine.%20To%20achieve%20a%20good%20weld%2C%20two%20criteria%20must%20be%20met%3A%20a%20weld%20seam%20free%20of%20defects%20(such%20as%20spatters%2C%20droplets%2C%20etc.)%2C%20and%20a%20good%20strength.%20To%20reach%20this%20result%20on%20a%20given%20material%2C%20many%20steps%20have%20been%20followed%3A%3C%2FSPAN%3E%3C%2FP%3E%0A%3CUL%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20determination%20of%20the%20welding%20flaws%20map%20and%20the%20weldability%20lobe%2C%20area%20where%20the%20weld%20seam%20is%20defect-free%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20determination%20of%20the%20base%20material%20strength%20to%20ensure%20that%20the%20pieces%20of%20material%20are%20identical%20and%20homogenous%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20analysis%20and%20modeling%2C%20via%20a%20DoE%20of%20the%20weld%20seam%20strength%20on%20the%20previously%20determined%20weldability%20lobe%2C%20which%20usually%20has%20a%20highly%20irregular%20shape%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3ELet%E2%80%99s%20now%20dive%20into%20the%20details%20of%20these%20exciting%20steps%2C%20all%20of%20%3C%2FSPAN%3E%3CSPAN%3Ethem%20requiring%20the%20use%20of%20a%20JMP%20platform.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3C%2FUL%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%202%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3ENotation%3C%2FSTRONG%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CTABLE%20border%3D%221%22%20width%3D%22100%25%22%3E%0A%3CTBODY%3E%0A%3CTR%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CDIV%20class%3D%22page%22%20title%3D%22Page%202%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CEM%3EM%20%3C%2FEM%3E%3CSPAN%3EMaterial%20type%3CBR%20%2F%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FTD%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CEM%3EF%20%3C%2FEM%3E%3CSPAN%3EFocusing%20distance%3C%2FSPAN%3E%3C%2FTD%3E%0A%3C%2FTR%3E%0A%3CTR%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CEM%3EH%20%3C%2FEM%3E%3CSPAN%3EMaterial%20thickness%3CBR%20%2F%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FTD%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CEM%3EG%20%3C%2FEM%3E%3CSPAN%3EGap%20between%20the%20plates%26nbsp%3B%3C%2FSPAN%3E%3C%2FTD%3E%0A%3C%2FTR%3E%0A%3CTR%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CEM%3EP%20%3C%2FEM%3E%3CSPAN%3ELaser%20power%3CBR%20%2F%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FTD%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CEM%3ET%20%3C%2FEM%3E%3CSPAN%3EThermal%20treatment%3C%2FSPAN%3E%3C%2FTD%3E%0A%3C%2FTR%3E%0A%3CTR%3E%0A%3CTD%20width%3D%2250%25%22%3E%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CEM%3EV%20%3C%2FEM%3E%3CSPAN%3ETravel%20speed%20of%20the%20welding%26nbsp%3B%3C%2FSPAN%3E%3CSPAN%3Ecarriage%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FTD%3E%0A%3CTD%20width%3D%2250%25%22%3E%26nbsp%3B%3C%2FTD%3E%0A%3C%2FTR%3E%0A%3C%2FTBODY%3E%0A%3C%2FTABLE%3E%0A%3C%2FDIV%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E2.%20Laser%20welding%20process%20and%20factors%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20welding%20process%20is%20made%20of%203%20parts%3A%20the%20two%20plates%20to%20be%20welded%20which%20can%20be%20of%20the%20same%20nature%20and%20thickness%20or%20not%2C%20the%20laser%20welding%20head%20mounted%20onto%20a%20travelling%20carriage%20and%20connected%20to%20its%2012kW%20laser%20source.%20To%20give%20an%20idea%20of%20the%20delivered%20power%2C%20a%20classic%20laser%20pointer%20used%20for%20a%20presentation%20has%20typically%20a%20power%20of%201mW.%20In%20comparison%2C%20the%20laser%20source%20used%20by%20Clecim%20SAS%20to%20cut%20and%20weld%20the%20pieces%20of%20material%20is%2012%20million%20times%20more%20powerful.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EGenerally%20speaking%2C%20the%20influencing%20parameters%20of%20laser%20welding%20belong%20to%20two%20categories%2C%20namely%20those%20related%20to%20the%20material%20to%20be%20welded%20itself%2C%20such%20as%20its%20nature%20%3C%2FSPAN%3E%3CEM%3EM%20%3C%2FEM%3E%3CSPAN%3Eand%20thickness%20%3C%2FSPAN%3E%3CEM%3EH%3C%2FEM%3E%3CSPAN%3E%2C%20and%20those%20related%20to%20the%20process%2C%20such%20as%20the%20laser%20power%20used%20%3C%2FSPAN%3E%3CEM%3EP%3C%2FEM%3E%3CSPAN%3E%2C%20the%20speed%20of%20the%20welding%20carriage%20%3C%2FSPAN%3E%3CEM%3EV%3C%2FEM%3E%3CSPAN%3E%2C%20the%20focusing%20distance%20%3C%2FSPAN%3E%3CEM%3EF%3C%2FEM%3E%3CSPAN%3E%2C%20the%20heat%20treatment%20%3C%2FSPAN%3E%3CEM%3ET%20%3C%2FEM%3E%3CSPAN%3Eor%20the%20spacing%20between%20the%20sheets%20%3C%2FSPAN%3E%3CEM%3EG%3C%2FEM%3E%3CSPAN%3E.%20To%20a%20lesser%20degree%2C%20other%20parameters%20are%20involved%20such%20as%20the%20inclination%20of%20the%20laser%20welding%20head%2C%20the%20type%20of%20shielding%20gas%2C%20its%20pressure%2C%20etc.%20Within%20the%20framework%20of%20this%20paper%2C%20only%20the%20used%20laser%20power%20%3C%2FSPAN%3E%3CSPAN%3EP%20%3C%2FSPAN%3E%3CSPAN%3Eand%20travel%20speed%20of%20the%20welding%20carriage%20%3C%2FSPAN%3E%3CEM%3EV%20%3C%2FEM%3E%3CSPAN%3Ewill%20be%20considered.%20The%20materials%20to%20be%20welded%20will%20be%20identical%20and%20of%20the%20same%20thickness.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3ETo%20put%20it%20in%20a%20nutshell%2C%20for%20the%20given%20pieces%20of%20material%20(M%2C%20H)%2C%20two%20factors%20(P%2C%20V)%20have%20to%20be%20optimized%20with%20the%20goal%20of%20getting%20a%20flawless%20and%20resistant%20weld%20seam.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E3.%20Weldability%20lobe%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-left%22%20image-alt%3D%22Figure%202%20%E2%80%93%20Welding%20flaws%20map%20%E2%80%93%20%20JMP%20Chart%20Builder%20is%20used%20to%20view%20the%20weld%20defect%20map.%20The%20major%20defect%20areas%20can%20easily%20be%20recognized%3A%20partial%20penetration%20(yellow)%2C%20holes%20(orange)%2C%20spatters%20(blue%2C%20purple)%2C%20chain%20of%20pearls%20(horizontale%20stripes)%2C%20defect-free%20area%20(black).%20Pictures%20of%20the%20top%20and%20bottom%20weld%20seam%20are%20displayed%20in%20the%20tooltip%20area%20when%20moving%20the%20mouse%20over.%22%20style%3D%22width%3A%20338px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%202%20%E2%80%93%20Welding%20flaws%20map%20%E2%80%93%20%20JMP%20Chart%20Builder%20is%20used%20to%20view%20the%20weld%20defect%20map.%20The%20major%20defect%20areas%20can%20easily%20be%20recognized%3A%20partial%20penetration%20(yellow)%2C%20holes%20(orange)%2C%20spatters%20(blue%2C%20purple)%2C%20chain%20of%20pearls%20(horizontale%20stripes)%2C%20defect-free%20area%20(black).%20Pictures%20of%20the%20top%20and%20bottom%20weld%20seam%20are%20displayed%20in%20the%20tooltip%20area%20when%20moving%20the%20mouse%20over.%22%20style%3D%22width%3A%20338px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43973i871043AE4561217F%2Fimage-dimensions%2F338x218%3Fv%3Dv2%22%20width%3D%22338%22%20height%3D%22218%22%20role%3D%22button%22%20title%3D%22image.png%22%20alt%3D%22Figure%202%20%E2%80%93%20Welding%20flaws%20map%20%E2%80%93%20%20JMP%20Chart%20Builder%20is%20used%20to%20view%20the%20weld%20defect%20map.%20The%20major%20defect%20areas%20can%20easily%20be%20recognized%3A%20partial%20penetration%20(yellow)%2C%20holes%20(orange)%2C%20spatters%20(blue%2C%20purple)%2C%20chain%20of%20pearls%20(horizontale%20stripes)%2C%20defect-free%20area%20(black).%20Pictures%20of%20the%20top%20and%20bottom%20weld%20seam%20are%20displayed%20in%20the%20tooltip%20area%20when%20moving%20the%20mouse%20over.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%202%20%E2%80%93%20Welding%20flaws%20map%20%E2%80%93%20%20JMP%20Chart%20Builder%20is%20used%20to%20view%20the%20weld%20defect%20map.%20The%20major%20defect%20areas%20can%20easily%20be%20recognized%3A%20partial%20penetration%20(yellow)%2C%20holes%20(orange)%2C%20spatters%20(blue%2C%20purple)%2C%20chain%20of%20pearls%20(horizontale%20stripes)%2C%20defect-free%20area%20(black).%20Pictures%20of%20the%20top%20and%20bottom%20weld%20seam%20are%20displayed%20in%20the%20tooltip%20area%20when%20moving%20the%20mouse%20over.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%202%20%E2%80%93%20Welding%20flaws%20map%20%E2%80%93%20JMP%20Chart%20Builder%20is%20used%20to%20view%20the%20weld%20defect%20map.%20The%20major%20defect%20areas%20can%20easily%20be%20recognized%3A%20partial%20penetration%20(yellow)%2C%20holes%20(orange)%2C%20spatters%20(blue%2C%20purple)%2C%20chain%20of%20pearls%20(horizontale%20stripes)%2C%20defect-free%20area%20(black).%20Pictures%20of%20the%20top%20and%20bottom%20weld%20seam%20are%20displayed%20in%20the%20tooltip%20area%20when%20moving%20the%20mouse%20over.%3C%2FSPAN%3E%3C%2FSPAN%3EThe%20first%20step%20of%20the%20experimental%20approach%20consists%20in%20performing%20tests%20in%20order%20to%20build%20a%20map%20of%20welding%20defects%20and%20thus%20determine%20the%20weldability%20zone%2C%20i.e.%20the%20defect-free%20zone.%20Depending%20on%20the%20thickness%20of%20the%20material%2C%20the%20number%20of%20tests%20to%20perform%20can%20quickly%20become%20important.%20In%20effect%2C%20the%20goal%20is%20to%20test%20all%20the%20pairs%20(P%2C%20V)%20and%20to%20visually%20observe%20the%20quality%20of%20the%20weld%20bead%20to%20know%20if%20the%20combination%20(P%2C%20V)%20generates%20a%20defect%20or%20not.%20In%20order%20to%20drastically%20reduce%20the%20number%20of%20tests%20and%20to%20save%20time%2C%20the%20so-%3C%2FSPAN%3E%3CSPAN%3Ecalled%20%E2%80%9Cpower%20jumps%E2%80%9D%20%3C%2FSPAN%3E%3CSPAN%3Eprocedure%20is%20used.%20In%20a%20single%20trial%2C%20at%20fixed%20speed%2C%2011%20power%20jumps%2C%20from%202%20to%2012kW%20in%201kW%20steps%2C%20are%20carried%20out%20giving%20the%20possibility%20to%20perform%2011%20tests%20in%20one.%20Regarding%20the%20welding%20speed%2C%20steps%20of%202%20m%2Fmin%20were%20used%20from%203%20to%2018%20m%2Fmin.%20In%20the%20end%2C%20the%20upper%20and%20lower%20parts%20of%2088%20weld%20seams%20were%20visually%20inspected%20and%20qualified.%3C%2FSPAN%3E%3C%2FP%3E%3CBR%20%2F%3E%3CP%3E%3CSPAN%3EThe%20results%20were%20stored%20in%20a%20JMP%20table%20and%20evaluated%20using%20the%20Graph%20Builder%20platform%20%3C%2FSPAN%3E%3CSPAN%3E%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%202%3C%2FSPAN%3E%3CSPAN%3E.%5D%20The%20welding%20speed%20%3C%2FSPAN%3E%3CSPAN%3EV%20%3C%2FSPAN%3E%3CSPAN%3Eis%20shown%20on%20the%20x-axis%20and%20the%20used%20laser%20power%20%3C%2FSPAN%3E%3CSPAN%3EP%20%3C%2FSPAN%3E%3CSPAN%3Eon%20the%20y-axis.%20For%20a%20given%20speed%2C%20we%20find%20the%2011%20visual%20observations%20corresponding%20to%20the%2011%20power%20jumps%20of%20the%20test%20protocol.%20Thanks%20to%20the%20association%20of%20a%20color%20and%20a%20shape%2C%20in%20one%20combined%2C%20it%20is%20possible%20to%20represent%20four%20welding%20flaws%20at%20the%20same%20time%20and%20to%20visualize%20hence%20the%20major%20defect%20areas%20in%20this%20way.%20For%20each%20pair%20(P%2C%20V)%2C%20pictures%20from%20the%20top%20and%20bottom%20weld%20seam%20have%20also%20been%20taken%20and%20stored%20into%20two%20expression%2Fvector%20columns%20so%20that%20they%20can%20simultaneously%20appear%20in%20the%20tooltip%20area.%20By%20moving%20the%20mouse%20over%20the%20points%2C%20the%20pictures%20are%20displayed.%20This%20functionality%20allows%20to%20easily%20compare%20the%20influence%20of%20a%20factor%20change%20on%20the%20weld%20bead%20facies%20and%20thus%20to%20progressively%20enter%20into%20the%20understanding%20of%20the%20laser%20welding%20process.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%202%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E4.%20Base%20material%20strength%20analysis%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EBefore%20going%20further%20in%20the%20analysis%20of%20the%20welds%2C%20it%20is%20necessary%20to%20evaluate%20the%20strength%20of%20the%20base%20material%2C%20and%20this%20for%203%20reasons%3A%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CUL%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20first%20reason%20is%20to%20establish%20a%20reference%20strength%20so%20that%3C%2FSPAN%3E%3CSPAN%3Ewe%20can%20make%20comparisons.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20second%20one%20is%20to%20make%20sure%20that%20the%202%20plates%20sent%20to%20us%3C%2FSPAN%3E%3CSPAN%3Eby%20our%20customer%20are%20comparable.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EAnd%20the%20third%20one%20is%20to%20make%20sure%20that%20the%20plates%20are%26nbsp%3B%3C%2FSPAN%3E%3CSPAN%3Ehomogeneous%20and%20that%20they%20do%20not%20have%20any%20resistance%26nbsp%3B%3C%2FSPAN%3E%3CSPAN%3Eprofile%20in%20their%20width%20for%20instance.%26nbsp%3B%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3C%2FUL%3E%0A%3CP%3E%3CSPAN%3ETo%20do%20that%2C%20Erichsen-type%20cupping%20tests%20on%20plates%20without%20any%20welds.%20Stamping%20is%20done%20via%20a%20ball%20and%20the%20breakage%20resistance%20is%20automaticallyrecorded.%20The%20protocol%20provides%20for%20three%20measurements%20in%20the%20width%20of%20the%20plate.%20Positions%20are%20respectively%20DS%20(drive%20side%20of%20the%20welding%20machine)%2C%20C%20(center)%20and%20OS%20(operator%20side).%20The%20various%20results%20are%20stored%20in%20a%20JMP%20table%20and%20summarized%20in%20a%20dashboard%20%3C%2FSPAN%3E%3CSPAN%3E%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%203%3C%2FSPAN%3E%3CSPAN%3E.%5D%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%203%20%E2%80%93%20Base%20material%20strength%20analysis%20The%20dashboard%20is%20composed%20of%20various%20JMP%20platforms%3A%20Graph%20Builder%2C%20Distributions%20and%20ANOVA.%20The%20custom%20map%20shape%5B1%5D%20of%20the%20Graph%20Builder%20displays%20the%20two%20samples%20corresponding%20to%20each%20of%20the%20two%20plates%20and%20the%20position%20of%20the%20various%20cupping%20tests%20colored%20by%20strength.%20In%20the%20ANOVA%2C%20the%20overlap%20of%20the%20two%20diamond%20tips%20demonstrates%20that%20the%20plate%20can%20be%20considered%20as%20identical.%20The%20chart%20on%20the%20right%20shows%20that%20the%20strength%20variance%20is%20higher%20on%20operator%20side%20(OS).%20Once%20aggregated%2C%20data%20from%20the%20bottom%20distribution%20presents%20an%20average%20strength%20is%209.76%C2%B10.18%20tons%20(at%202%CF%83).%22%20style%3D%22width%3A%20316px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%203%20%E2%80%93%20Base%20material%20strength%20analysis%20The%20dashboard%20is%20composed%20of%20various%20JMP%20platforms%3A%20Graph%20Builder%2C%20Distributions%20and%20ANOVA.%20The%20custom%20map%20shape%5B1%5D%20of%20the%20Graph%20Builder%20displays%20the%20two%20samples%20corresponding%20to%20each%20of%20the%20two%20plates%20and%20the%20position%20of%20the%20various%20cupping%20tests%20colored%20by%20strength.%20In%20the%20ANOVA%2C%20the%20overlap%20of%20the%20two%20diamond%20tips%20demonstrates%20that%20the%20plate%20can%20be%20considered%20as%20identical.%20The%20chart%20on%20the%20right%20shows%20that%20the%20strength%20variance%20is%20higher%20on%20operator%20side%20(OS).%20Once%20aggregated%2C%20data%20from%20the%20bottom%20distribution%20presents%20an%20average%20strength%20is%209.76%C2%B10.18%20tons%20(at%202%CF%83).%22%20style%3D%22width%3A%20316px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43960i481DEB136F7CBAA4%2Fimage-dimensions%2F316x151%3Fv%3Dv2%22%20width%3D%22316%22%20height%3D%22151%22%20role%3D%22button%22%20title%3D%22image.png%22%20alt%3D%22Figure%203%20%E2%80%93%20Base%20material%20strength%20analysis%20The%20dashboard%20is%20composed%20of%20various%20JMP%20platforms%3A%20Graph%20Builder%2C%20Distributions%20and%20ANOVA.%20The%20custom%20map%20shape%5B1%5D%20of%20the%20Graph%20Builder%20displays%20the%20two%20samples%20corresponding%20to%20each%20of%20the%20two%20plates%20and%20the%20position%20of%20the%20various%20cupping%20tests%20colored%20by%20strength.%20In%20the%20ANOVA%2C%20the%20overlap%20of%20the%20two%20diamond%20tips%20demonstrates%20that%20the%20plate%20can%20be%20considered%20as%20identical.%20The%20chart%20on%20the%20right%20shows%20that%20the%20strength%20variance%20is%20higher%20on%20operator%20side%20(OS).%20Once%20aggregated%2C%20data%20from%20the%20bottom%20distribution%20presents%20an%20average%20strength%20is%209.76%C2%B10.18%20tons%20(at%202%CF%83).%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%203%20%E2%80%93%20Base%20material%20strength%20analysis%20The%20dashboard%20is%20composed%20of%20various%20JMP%20platforms%3A%20Graph%20Builder%2C%20Distributions%20and%20ANOVA.%20The%20custom%20map%20shape%5B1%5D%20of%20the%20Graph%20Builder%20displays%20the%20two%20samples%20corresponding%20to%20each%20of%20the%20two%20plates%20and%20the%20position%20of%20the%20various%20cupping%20tests%20colored%20by%20strength.%20In%20the%20ANOVA%2C%20the%20overlap%20of%20the%20two%20diamond%20tips%20demonstrates%20that%20the%20plate%20can%20be%20considered%20as%20identical.%20The%20chart%20on%20the%20right%20shows%20that%20the%20strength%20variance%20is%20higher%20on%20operator%20side%20(OS).%20Once%20aggregated%2C%20data%20from%20the%20bottom%20distribution%20presents%20an%20average%20strength%20is%209.76%C2%B10.18%20tons%20(at%202%CF%83).%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%203%20%E2%80%93%20Base%20material%20strength%20analysis%20The%20dashboard%20is%20composed%20of%20various%20JMP%20platforms%3A%20Graph%20Builder%2C%20Distributions%20and%20ANOVA.%20The%20custom%20map%20shape%5B1%5D%20of%20the%20Graph%20Builder%20displays%20the%20two%20samples%20corresponding%20to%20each%20of%20the%20two%20plates%20and%20the%20position%20of%20the%20various%20cupping%20tests%20colored%20by%20strength.%20In%20the%20ANOVA%2C%20the%20overlap%20of%20the%20two%20diamond%20tips%20demonstrates%20that%20the%20plate%20can%20be%20considered%20as%20identical.%20The%20chart%20on%20the%20right%20shows%20that%20the%20strength%20variance%20is%20higher%20on%20operator%20side%20(OS).%20Once%20aggregated%2C%20data%20from%20the%20bottom%20distribution%20presents%20an%20average%20strength%20is%209.76%C2%B10.18%20tons%20(at%202%CF%83).%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EIn%20summary%2C%20the%20two%20plates%20to%20be%20welded%20can%20be%20considered%20identical%2C%20but%20further%20investigations%20are%20needed%20to%20understand%20why%20the%20strength%20variance%20is%20higher%20on%20the%20operator%20side.%3C%2FSPAN%3E%3C%2FP%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%204%20%E2%80%93%20Appearance%20of%20the%20plate%20%E2%80%93%20%20The%20plates%20present%20a%20relatively%20flat%20aspect%20on%20the%20drive%20side%20and%20waves%20on%20the%20operator%20side.%20The%20history%20of%20the%20plates%20is%20unknown%20but%20there%20must%20have%20been%20a%20rolling%20of%20planishing%20issue%20with%20a%20higher%20force%20applied%20on%20the%20operator%20side%2C%20which%20created%20this%20appearance%20and%20a%20periodic%20modification%20of%20the%20strength.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%204%20%E2%80%93%20Appearance%20of%20the%20plate%20%E2%80%93%20%20The%20plates%20present%20a%20relatively%20flat%20aspect%20on%20the%20drive%20side%20and%20waves%20on%20the%20operator%20side.%20The%20history%20of%20the%20plates%20is%20unknown%20but%20there%20must%20have%20been%20a%20rolling%20of%20planishing%20issue%20with%20a%20higher%20force%20applied%20on%20the%20operator%20side%2C%20which%20created%20this%20appearance%20and%20a%20periodic%20modification%20of%20the%20strength.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43972iD0AACF471665B987%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22image.png%22%20alt%3D%22Figure%204%20%E2%80%93%20Appearance%20of%20the%20plate%20%E2%80%93%20%20The%20plates%20present%20a%20relatively%20flat%20aspect%20on%20the%20drive%20side%20and%20waves%20on%20the%20operator%20side.%20The%20history%20of%20the%20plates%20is%20unknown%20but%20there%20must%20have%20been%20a%20rolling%20of%20planishing%20issue%20with%20a%20higher%20force%20applied%20on%20the%20operator%20side%2C%20which%20created%20this%20appearance%20and%20a%20periodic%20modification%20of%20the%20strength.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%204%20%E2%80%93%20Appearance%20of%20the%20plate%20%E2%80%93%20%20The%20plates%20present%20a%20relatively%20flat%20aspect%20on%20the%20drive%20side%20and%20waves%20on%20the%20operator%20side.%20The%20history%20of%20the%20plates%20is%20unknown%20but%20there%20must%20have%20been%20a%20rolling%20of%20planishing%20issue%20with%20a%20higher%20force%20applied%20on%20the%20operator%20side%2C%20which%20created%20this%20appearance%20and%20a%20periodic%20modification%20of%20the%20strength.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%204%20%E2%80%93%20Appearance%20of%20the%20plate%20%E2%80%93%20The%20plates%20present%20a%20relatively%20flat%20aspect%20on%20the%20drive%20side%20and%20waves%20on%20the%20operator%20side.%20The%20history%20of%20the%20plates%20is%20unknown%20but%20there%20must%20have%20been%20a%20rolling%20of%20planishing%20issue%20with%20a%20higher%20force%20applied%20on%20the%20operator%20side%2C%20which%20created%20this%20appearance%20and%20a%20periodic%20modification%20of%20the%20strength.%3C%2FSPAN%3E%3C%2FSPAN%3E%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3ETo%20understand%20the%20differences%20in%20resistance%20on%20the%20operator%20side%2C%20it%20is%20necessary%20to%20pay%20attention%20to%20the%20visual%20aspect%20of%20the%20plate%3C%2FSPAN%3E%3CSPAN%3E%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%204.%5D%20Due%20to%20potential%20force%20variations%20during%20its%20treatment%2C%20the%20plates%20are%20inhomogeneous%20in%20term%20of%20strength%20in%20their%20width%20and%20length.%3CSPAN%20class%3D%22Apple-converted-space%22%3E%26nbsp%3B%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%203%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E4.%20Weld%20bead%20strength%20analysis%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20construction%20of%20the%20test%20plan%20requires%20taking%20into%20account%20all%20the%20various%20constraints%2C%204%20in%20number%3A%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CUL%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20first%20constraint%20is%20related%20to%20the%20irregularly%20shaped%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3Eregion%3C%2FSPAN%3E%3CSPAN%3E%5B4-Ch.5%5D%20%3C%2FSPAN%3E%3CSPAN%3Eof%20the%20weldability%20lobe.%20The%20traditional%20way%20to%20do%20it%20would%20be%20to%20delimit%20the%20study%20area%20using%20multiple%20linear%20constraints.%20Although%20possible%2C%20it%20is%20the%20technique%20of%20the%20candidate%20points%2C%20also%20called%20covariates%3C%2FSPAN%3E%3CSPAN%3E%5B2%2C3%2C4-Ch.9%5D%20%3C%2FSPAN%3E%3CSPAN%3Ein%20JMP%2C%20that%20has%20been%20chosen%20for%20the%20simplicity%20sake.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20second%20one%2C%20due%20to%20the%20plate%20inhomogeneity%2C%20is%20related%20to%20the%20strength%20changes%20in%20the%20width.%20To%20take%20this%20effect%20into%20account%2C%20a%203%20levels%20(DS%2C%20C%2C%20OS)%20categorical%20parameter%20is%20envisaged.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EThe%20third%20one%2C%20also%20due%20to%20plate%20inhomogeneity%2C%20is%20related%20to%20the%20periodic%20and%20incurred%20strength%20changes%20in%20the%20length.%20This%20parameter%20cannot%20be%20controlled%20but%20it%20must%20nevertheless%20be%20considered%20in%20the%20future%20test%20plan.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3CLI%3E%3CP%3E%3CSPAN%3EFinally%2C%20the%20fourth%20one%20is%20related%20to%20the%20fact%20that%20the%203%20values%20of%20the%20categorical%20parameter%20are%20not%20independent%20since%20they%20belong%20to%20the%20same%20treatment%20(i.e.%20weld).%20Subsequently%2C%20a%20split-plot%20design%3C%2FSPAN%3E%3CSPAN%3E%5B4-Ch.10%5D%20%3C%2FSPAN%3E%3CSPAN%3Ewith%20parameters%20hard%20or%20easy%20to%20change%20has%20to%20be%20considered.%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FLI%3E%0A%3C%2FUL%3E%0A%3CP%3E%3CSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%205%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20The%20Custom%20Design%20platform%20allows%20the%20creation%20of%20a%20completely%20customized%20test%20plan.%20The%20Responses%20part%20provides%20the%20list%20of%20responses%20to%20be%20optimized%2C%20in%20this%20case%20the%20goal%20is%20to%20look%20for%20the%20maximum%20strength.%20The%20Factors%20part%20presents%20the%20way%20how%20the%20four%20constraints%20have%20been%20addressed.%20As%20the%20position%20is%20uncontrolled%2C%20no%20values%20are%20input%20into%20the%20limits.%20The%20Model%20part%20displays%20all%20the%20factors%20and%20interactions%20considered%20in%20the%20model.%20RSM%20(Response%20Surface%20Methodology)%20is%20used%2C%20the%20interactions%20between%20the%20laser%20power%2C%20the%20welding%20speed%20and%20the%20side%20have%20been%20removed%20as%20they%20have%20been%20considered%20not%20significant.%20Finally%2C%20the%20Design%20Generation%20part%20proposes%208%20trials%20and%2024%20measurements.%22%20style%3D%22width%3A%20359px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%205%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20The%20Custom%20Design%20platform%20allows%20the%20creation%20of%20a%20completely%20customized%20test%20plan.%20The%20Responses%20part%20provides%20the%20list%20of%20responses%20to%20be%20optimized%2C%20in%20this%20case%20the%20goal%20is%20to%20look%20for%20the%20maximum%20strength.%20The%20Factors%20part%20presents%20the%20way%20how%20the%20four%20constraints%20have%20been%20addressed.%20As%20the%20position%20is%20uncontrolled%2C%20no%20values%20are%20input%20into%20the%20limits.%20The%20Model%20part%20displays%20all%20the%20factors%20and%20interactions%20considered%20in%20the%20model.%20RSM%20(Response%20Surface%20Methodology)%20is%20used%2C%20the%20interactions%20between%20the%20laser%20power%2C%20the%20welding%20speed%20and%20the%20side%20have%20been%20removed%20as%20they%20have%20been%20considered%20not%20significant.%20Finally%2C%20the%20Design%20Generation%20part%20proposes%208%20trials%20and%2024%20measurements.%22%20style%3D%22width%3A%20359px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43963iD01BCEA9B2C1F1BB%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%205.png%22%20alt%3D%22Figure%205%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20The%20Custom%20Design%20platform%20allows%20the%20creation%20of%20a%20completely%20customized%20test%20plan.%20The%20Responses%20part%20provides%20the%20list%20of%20responses%20to%20be%20optimized%2C%20in%20this%20case%20the%20goal%20is%20to%20look%20for%20the%20maximum%20strength.%20The%20Factors%20part%20presents%20the%20way%20how%20the%20four%20constraints%20have%20been%20addressed.%20As%20the%20position%20is%20uncontrolled%2C%20no%20values%20are%20input%20into%20the%20limits.%20The%20Model%20part%20displays%20all%20the%20factors%20and%20interactions%20considered%20in%20the%20model.%20RSM%20(Response%20Surface%20Methodology)%20is%20used%2C%20the%20interactions%20between%20the%20laser%20power%2C%20the%20welding%20speed%20and%20the%20side%20have%20been%20removed%20as%20they%20have%20been%20considered%20not%20significant.%20Finally%2C%20the%20Design%20Generation%20part%20proposes%208%20trials%20and%2024%20measurements.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%205%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20The%20Custom%20Design%20platform%20allows%20the%20creation%20of%20a%20completely%20customized%20test%20plan.%20The%20Responses%20part%20provides%20the%20list%20of%20responses%20to%20be%20optimized%2C%20in%20this%20case%20the%20goal%20is%20to%20look%20for%20the%20maximum%20strength.%20The%20Factors%20part%20presents%20the%20way%20how%20the%20four%20constraints%20have%20been%20addressed.%20As%20the%20position%20is%20uncontrolled%2C%20no%20values%20are%20input%20into%20the%20limits.%20The%20Model%20part%20displays%20all%20the%20factors%20and%20interactions%20considered%20in%20the%20model.%20RSM%20(Response%20Surface%20Methodology)%20is%20used%2C%20the%20interactions%20between%20the%20laser%20power%2C%20the%20welding%20speed%20and%20the%20side%20have%20been%20removed%20as%20they%20have%20been%20considered%20not%20significant.%20Finally%2C%20the%20Design%20Generation%20part%20proposes%208%20trials%20and%2024%20measurements.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%205%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20The%20Custom%20Design%20platform%20allows%20the%20creation%20of%20a%20completely%20customized%20test%20plan.%20The%20Responses%20part%20provides%20the%20list%20of%20responses%20to%20be%20optimized%2C%20in%20this%20case%20the%20goal%20is%20to%20look%20for%20the%20maximum%20strength.%20The%20Factors%20part%20presents%20the%20way%20how%20the%20four%20constraints%20have%20been%20addressed.%20As%20the%20position%20is%20uncontrolled%2C%20no%20values%20are%20input%20into%20the%20limits.%20The%20Model%20part%20displays%20all%20the%20factors%20and%20interactions%20considered%20in%20the%20model.%20RSM%20(Response%20Surface%20Methodology)%20is%20used%2C%20the%20interactions%20between%20the%20laser%20power%2C%20the%20welding%20speed%20and%20the%20side%20have%20been%20removed%20as%20they%20have%20been%20considered%20not%20significant.%20Finally%2C%20the%20Design%20Generation%20part%20proposes%208%20trials%20and%2024%20measurements.%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20creation%20of%20the%20custom%20design%20of%20experiments%20is%20explained%20in%20%3C%2FSPAN%3E%3CSPAN%3E%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%205%3C%2FSPAN%3E%3CSPAN%3E.%5D%20A%20total%20of%208%20tests%20and%2024%20measurements%20is%20lastly%20considered.%20The%20test%20plan%20is%20executed%20and%20for%20each%20triplet%20(P%2C%20V%2C%20Side)%20the%20following%20data%20are%20recorded%3A%20the%20position%20of%20the%20weld%20(in%20mm%2C%20from%20one%20end%20of%20the%20plate)%2C%20the%20value%20of%20the%20strength%20(in%20absolute%20and%20in%20percent%20of%20the%20base%20material%20strength).%20The%20strength%20of%20the%20welds%20is%20then%20modeled%20using%20the%20Fit%20Model%20platform%20%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%206%3C%2FSPAN%3E%3CSPAN%3E.%5D%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%206%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20%20The%20results%20are%20presented%20into%20a%20dashboard.%20The%20irregular%20shape%20of%20the%20weldability%20lobe%20is%20reminded%20in%20the%20top%20right%20chart.%20The%20experimental%20points%2C%20proposed%20by%20the%20Custom%20Design%20platform%2C%20and%20the%20associated%20strength%20values%2C%20in%20percent%2C%20are%20summarized%20in%20the%20bottom%20right%20chart.%20Finally%2C%20the%20Fit%20Model%20platform%20on%20the%20left%20displays%20the%20modeling%20result.%20An%20explicative%20power%20R2%20of%2096%25%20has%20been%20reached%2C%20meaning%20that%20only%204%25%20of%20the%20variations%20escape%20its%20predictive%20power.%20The%20Effect%20Summary%20shows%20that%20the%20main%20effects%20(laser%20power%2C%20welding%20speed%20and%20position)%20are%20significant.%20The%20side%20factor%20is%20not%20directly%20significant%2C%20but%20becomes%20so%20when%20associated%20with%20the%20position.%20The%20VIFs%20(Variance%20Inflation%20Factors%2C%20not%20displayed%20here)%20have%20all%20a%20value%20smaller%20than%201.6%2C%20showing%20no%20multicolinearity%20issue%20(no%20linear%20relationship%20among%20two%20or%20more%20explanatory%20variables%20exists).%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%206%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20%20The%20results%20are%20presented%20into%20a%20dashboard.%20The%20irregular%20shape%20of%20the%20weldability%20lobe%20is%20reminded%20in%20the%20top%20right%20chart.%20The%20experimental%20points%2C%20proposed%20by%20the%20Custom%20Design%20platform%2C%20and%20the%20associated%20strength%20values%2C%20in%20percent%2C%20are%20summarized%20in%20the%20bottom%20right%20chart.%20Finally%2C%20the%20Fit%20Model%20platform%20on%20the%20left%20displays%20the%20modeling%20result.%20An%20explicative%20power%20R2%20of%2096%25%20has%20been%20reached%2C%20meaning%20that%20only%204%25%20of%20the%20variations%20escape%20its%20predictive%20power.%20The%20Effect%20Summary%20shows%20that%20the%20main%20effects%20(laser%20power%2C%20welding%20speed%20and%20position)%20are%20significant.%20The%20side%20factor%20is%20not%20directly%20significant%2C%20but%20becomes%20so%20when%20associated%20with%20the%20position.%20The%20VIFs%20(Variance%20Inflation%20Factors%2C%20not%20displayed%20here)%20have%20all%20a%20value%20smaller%20than%201.6%2C%20showing%20no%20multicolinearity%20issue%20(no%20linear%20relationship%20among%20two%20or%20more%20explanatory%20variables%20exists).%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43964i227C2C74C9B05AB7%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%206.png%22%20alt%3D%22Figure%206%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20%20The%20results%20are%20presented%20into%20a%20dashboard.%20The%20irregular%20shape%20of%20the%20weldability%20lobe%20is%20reminded%20in%20the%20top%20right%20chart.%20The%20experimental%20points%2C%20proposed%20by%20the%20Custom%20Design%20platform%2C%20and%20the%20associated%20strength%20values%2C%20in%20percent%2C%20are%20summarized%20in%20the%20bottom%20right%20chart.%20Finally%2C%20the%20Fit%20Model%20platform%20on%20the%20left%20displays%20the%20modeling%20result.%20An%20explicative%20power%20R2%20of%2096%25%20has%20been%20reached%2C%20meaning%20that%20only%204%25%20of%20the%20variations%20escape%20its%20predictive%20power.%20The%20Effect%20Summary%20shows%20that%20the%20main%20effects%20(laser%20power%2C%20welding%20speed%20and%20position)%20are%20significant.%20The%20side%20factor%20is%20not%20directly%20significant%2C%20but%20becomes%20so%20when%20associated%20with%20the%20position.%20The%20VIFs%20(Variance%20Inflation%20Factors%2C%20not%20displayed%20here)%20have%20all%20a%20value%20smaller%20than%201.6%2C%20showing%20no%20multicolinearity%20issue%20(no%20linear%20relationship%20among%20two%20or%20more%20explanatory%20variables%20exists).%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%206%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20%20The%20results%20are%20presented%20into%20a%20dashboard.%20The%20irregular%20shape%20of%20the%20weldability%20lobe%20is%20reminded%20in%20the%20top%20right%20chart.%20The%20experimental%20points%2C%20proposed%20by%20the%20Custom%20Design%20platform%2C%20and%20the%20associated%20strength%20values%2C%20in%20percent%2C%20are%20summarized%20in%20the%20bottom%20right%20chart.%20Finally%2C%20the%20Fit%20Model%20platform%20on%20the%20left%20displays%20the%20modeling%20result.%20An%20explicative%20power%20R2%20of%2096%25%20has%20been%20reached%2C%20meaning%20that%20only%204%25%20of%20the%20variations%20escape%20its%20predictive%20power.%20The%20Effect%20Summary%20shows%20that%20the%20main%20effects%20(laser%20power%2C%20welding%20speed%20and%20position)%20are%20significant.%20The%20side%20factor%20is%20not%20directly%20significant%2C%20but%20becomes%20so%20when%20associated%20with%20the%20position.%20The%20VIFs%20(Variance%20Inflation%20Factors%2C%20not%20displayed%20here)%20have%20all%20a%20value%20smaller%20than%201.6%2C%20showing%20no%20multicolinearity%20issue%20(no%20linear%20relationship%20among%20two%20or%20more%20explanatory%20variables%20exists).%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%206%20%E2%80%93%20Building%20of%20the%20custom%20design%20of%20experiments%20%E2%80%93%20The%20results%20are%20presented%20into%20a%20dashboard.%20The%20irregular%20shape%20of%20the%20weldability%20lobe%20is%20reminded%20in%20the%20top%20right%20chart.%20The%20experimental%20points%2C%20proposed%20by%20the%20Custom%20Design%20platform%2C%20and%20the%20associated%20strength%20values%2C%20in%20percent%2C%20are%20summarized%20in%20the%20bottom%20right%20chart.%20Finally%2C%20the%20Fit%20Model%20platform%20on%20the%20left%20displays%20the%20modeling%20result.%20An%20explicative%20power%20R2%20of%2096%25%20has%20been%20reached%2C%20meaning%20that%20only%204%25%20of%20the%20variations%20escape%20its%20predictive%20power.%20The%20Effect%20Summary%20shows%20that%20the%20main%20effects%20(laser%20power%2C%20welding%20speed%20and%20position)%20are%20significant.%20The%20side%20factor%20is%20not%20directly%20significant%2C%20but%20becomes%20so%20when%20associated%20with%20the%20position.%20The%20VIFs%20(Variance%20Inflation%20Factors%2C%20not%20displayed%20here)%20have%20all%20a%20value%20smaller%20than%201.6%2C%20showing%20no%20multicolinearity%20issue%20(no%20linear%20relationship%20among%20two%20or%20more%20explanatory%20variables%20exists).%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20resulting%20model%20being%20of%20good%20quality%2C%20it%20can%20be%20used%20in%20prediction.%20After%20correcting%20for%20the%20effects%20of%20weld%20position%20and%20sides%2C%20the%20trends%20attributable%20to%20laser%20power%20and%20traveling%20speed%20are%20clearly%20visible%20in%20the%20Prediction%20Profiler%20%3C%2FSPAN%3E%3CSPAN%3E%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%207%3C%2FSPAN%3E%3CSPAN%3E.%5D%20%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-right%22%20image-alt%3D%22Figure%207%20%E2%80%93%20Checking%20the%20model's%20behavior%20with%20the%20Profiler%20%E2%80%93%20%20The%20upper%20profiler%20refers%20to%20low%20position%20values%2C%20the%20lower%20to%20high%20position%20values.%20The%20model%20response%20(strength%20in%20%25)%20is%20shown%20on%20the%20y-%20axis%2C%20the%20factors%20on%20the%20x-axis.%20Weld%20after%20weld%20(increasing%20position)%2C%20the%20strengthes%20on%20the%20DS%20and%20C%20sides%20remain%20mostly%20unchanged%20while%20the%20strength%20on%20the%20OS%20side%20changes%20dramatically%2C%20as%20observed%20visually.%20This%20phenomenon%20being%20well%20modeled%2C%20it%20is%20now%20possible%20to%20access%20the%20pure%20effects%20of%20laser%20power%20and%20welding%20speed.%20The%20weld%20strength%20increases%20when%20the%20laser%20power%20decreases%20and%20the%20traveling%20speed%20increases.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%207%20%E2%80%93%20Checking%20the%20model's%20behavior%20with%20the%20Profiler%20%E2%80%93%20%20The%20upper%20profiler%20refers%20to%20low%20position%20values%2C%20the%20lower%20to%20high%20position%20values.%20The%20model%20response%20(strength%20in%20%25)%20is%20shown%20on%20the%20y-%20axis%2C%20the%20factors%20on%20the%20x-axis.%20Weld%20after%20weld%20(increasing%20position)%2C%20the%20strengthes%20on%20the%20DS%20and%20C%20sides%20remain%20mostly%20unchanged%20while%20the%20strength%20on%20the%20OS%20side%20changes%20dramatically%2C%20as%20observed%20visually.%20This%20phenomenon%20being%20well%20modeled%2C%20it%20is%20now%20possible%20to%20access%20the%20pure%20effects%20of%20laser%20power%20and%20welding%20speed.%20The%20weld%20strength%20increases%20when%20the%20laser%20power%20decreases%20and%20the%20traveling%20speed%20increases.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43965i7EE69490B6CAE583%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%207.png%22%20alt%3D%22Figure%207%20%E2%80%93%20Checking%20the%20model's%20behavior%20with%20the%20Profiler%20%E2%80%93%20%20The%20upper%20profiler%20refers%20to%20low%20position%20values%2C%20the%20lower%20to%20high%20position%20values.%20The%20model%20response%20(strength%20in%20%25)%20is%20shown%20on%20the%20y-%20axis%2C%20the%20factors%20on%20the%20x-axis.%20Weld%20after%20weld%20(increasing%20position)%2C%20the%20strengthes%20on%20the%20DS%20and%20C%20sides%20remain%20mostly%20unchanged%20while%20the%20strength%20on%20the%20OS%20side%20changes%20dramatically%2C%20as%20observed%20visually.%20This%20phenomenon%20being%20well%20modeled%2C%20it%20is%20now%20possible%20to%20access%20the%20pure%20effects%20of%20laser%20power%20and%20welding%20speed.%20The%20weld%20strength%20increases%20when%20the%20laser%20power%20decreases%20and%20the%20traveling%20speed%20increases.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%207%20%E2%80%93%20Checking%20the%20model's%20behavior%20with%20the%20Profiler%20%E2%80%93%20%20The%20upper%20profiler%20refers%20to%20low%20position%20values%2C%20the%20lower%20to%20high%20position%20values.%20The%20model%20response%20(strength%20in%20%25)%20is%20shown%20on%20the%20y-%20axis%2C%20the%20factors%20on%20the%20x-axis.%20Weld%20after%20weld%20(increasing%20position)%2C%20the%20strengthes%20on%20the%20DS%20and%20C%20sides%20remain%20mostly%20unchanged%20while%20the%20strength%20on%20the%20OS%20side%20changes%20dramatically%2C%20as%20observed%20visually.%20This%20phenomenon%20being%20well%20modeled%2C%20it%20is%20now%20possible%20to%20access%20the%20pure%20effects%20of%20laser%20power%20and%20welding%20speed.%20The%20weld%20strength%20increases%20when%20the%20laser%20power%20decreases%20and%20the%20traveling%20speed%20increases.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%207%20%E2%80%93%20Checking%20the%20model's%20behavior%20with%20the%20Profiler%20%E2%80%93%20The%20upper%20profiler%20refers%20to%20low%20position%20values%2C%20the%20lower%20to%20high%20position%20values.%20The%20model%20response%20(strength%20in%20%25)%20is%20shown%20on%20the%20y-%20axis%2C%20the%20factors%20on%20the%20x-axis.%20Weld%20after%20weld%20(increasing%20position)%2C%20the%20strengthes%20on%20the%20DS%20and%20C%20sides%20remain%20mostly%20unchanged%20while%20the%20strength%20on%20the%20OS%20side%20changes%20dramatically%2C%20as%20observed%20visually.%20This%20phenomenon%20being%20well%20modeled%2C%20it%20is%20now%20possible%20to%20access%20the%20pure%20effects%20of%20laser%20power%20and%20welding%20speed.%20The%20weld%20strength%20increases%20when%20the%20laser%20power%20decreases%20and%20the%20traveling%20speed%20increases.%3C%2FSPAN%3E%3C%2FSPAN%3EFor%20the%20considered%20material%2C%20there%20does%20not%20seem%20to%20be%20any%20interaction%20between%20the%20laser%20power%20and%20the%20welding%20speed.%20The%20weld%20strength%20therefore%20increases%20with%20the%20travelling%20speed%20and%20when%20the%20laser%20power%20decreases.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EHowever%2C%20that%20being%20said%2C%20the%20work%20is%20not%20over%20yet.%20The%20limits%20of%20the%20weldability%20lobe%20must%20also%20be%20carefully%20considered%20in%20the%20search%20for%20an%20optimum.%20On%20the%20basis%20of%20the%20Prediction%20Profiler%20alone%2C%20this%20is%20not%20easy%2C%20so%20it%20is%20the%20Contour%20Profiler's%20turn%20to%20play!%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%204%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20use%20of%20the%20Contour%20Profiler%20allows%20to%20superimpose%20the%20iso-resistance%20curves%20from%20the%20strength%20model%20with%20the%20weldability%20lobe%20%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%208%3C%2FSPAN%3E%3CSPAN%3E.%5D%20Finding%20the%20optimal%20point%20requires%20locating%20a%20point%20that%20is%20not%20only%20within%20the%20weldability%20lobe%20but%20that%20also%20has%20the%20highest%20strength.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%208%20%E2%80%93%20Optimization%20with%20the%20Contour%20Profiler%20%E2%80%93%20%20The%20Contour%20Profiler%20displays%20the%20welding%20speed%20on%20the%20x-axis%20and%20the%20laser%20power%20on%20the%20y-axis%2C%20with%20the%20position%20and%20side%20values%20fixed.%20Arbitrarily%2C%20the%20side%20value%20was%20set%20to%20DS.%20As%20for%20the%20position%2C%20it%20was%20set%20to%20the%20latter.%20The%20weldability%20lobe%20where%20the%20weld%20bead%20is%20free%20of%20defects%20was%20reproduced%20in%20black%20using%20a%20script%20and%20the%20polygon%20drawing%20function.The%20iso-resistance%20curves%20of%20the%20model%2C%20in%20red%2C%20are%20also%20plotted.%20The%20associated%20resistance%20percentages%20are%20also%20displayed%20in%20red.%20The%20welding%20speed%20and%20laser%20power%20sliders%20are%20set%20to%20the%20coordinates%20of%20the%20optimal%20point%2C%20materialized%20by%20the%20black%20cross%20in%20the%20center%20of%20the%20graph.%22%20style%3D%22width%3A%20346px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%208%20%E2%80%93%20Optimization%20with%20the%20Contour%20Profiler%20%E2%80%93%20%20The%20Contour%20Profiler%20displays%20the%20welding%20speed%20on%20the%20x-axis%20and%20the%20laser%20power%20on%20the%20y-axis%2C%20with%20the%20position%20and%20side%20values%20fixed.%20Arbitrarily%2C%20the%20side%20value%20was%20set%20to%20DS.%20As%20for%20the%20position%2C%20it%20was%20set%20to%20the%20latter.%20The%20weldability%20lobe%20where%20the%20weld%20bead%20is%20free%20of%20defects%20was%20reproduced%20in%20black%20using%20a%20script%20and%20the%20polygon%20drawing%20function.The%20iso-resistance%20curves%20of%20the%20model%2C%20in%20red%2C%20are%20also%20plotted.%20The%20associated%20resistance%20percentages%20are%20also%20displayed%20in%20red.%20The%20welding%20speed%20and%20laser%20power%20sliders%20are%20set%20to%20the%20coordinates%20of%20the%20optimal%20point%2C%20materialized%20by%20the%20black%20cross%20in%20the%20center%20of%20the%20graph.%22%20style%3D%22width%3A%20346px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43966iAB9BA3D87BF8E110%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%208.png%22%20alt%3D%22Figure%208%20%E2%80%93%20Optimization%20with%20the%20Contour%20Profiler%20%E2%80%93%20%20The%20Contour%20Profiler%20displays%20the%20welding%20speed%20on%20the%20x-axis%20and%20the%20laser%20power%20on%20the%20y-axis%2C%20with%20the%20position%20and%20side%20values%20fixed.%20Arbitrarily%2C%20the%20side%20value%20was%20set%20to%20DS.%20As%20for%20the%20position%2C%20it%20was%20set%20to%20the%20latter.%20The%20weldability%20lobe%20where%20the%20weld%20bead%20is%20free%20of%20defects%20was%20reproduced%20in%20black%20using%20a%20script%20and%20the%20polygon%20drawing%20function.The%20iso-resistance%20curves%20of%20the%20model%2C%20in%20red%2C%20are%20also%20plotted.%20The%20associated%20resistance%20percentages%20are%20also%20displayed%20in%20red.%20The%20welding%20speed%20and%20laser%20power%20sliders%20are%20set%20to%20the%20coordinates%20of%20the%20optimal%20point%2C%20materialized%20by%20the%20black%20cross%20in%20the%20center%20of%20the%20graph.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%208%20%E2%80%93%20Optimization%20with%20the%20Contour%20Profiler%20%E2%80%93%20%20The%20Contour%20Profiler%20displays%20the%20welding%20speed%20on%20the%20x-axis%20and%20the%20laser%20power%20on%20the%20y-axis%2C%20with%20the%20position%20and%20side%20values%20fixed.%20Arbitrarily%2C%20the%20side%20value%20was%20set%20to%20DS.%20As%20for%20the%20position%2C%20it%20was%20set%20to%20the%20latter.%20The%20weldability%20lobe%20where%20the%20weld%20bead%20is%20free%20of%20defects%20was%20reproduced%20in%20black%20using%20a%20script%20and%20the%20polygon%20drawing%20function.The%20iso-resistance%20curves%20of%20the%20model%2C%20in%20red%2C%20are%20also%20plotted.%20The%20associated%20resistance%20percentages%20are%20also%20displayed%20in%20red.%20The%20welding%20speed%20and%20laser%20power%20sliders%20are%20set%20to%20the%20coordinates%20of%20the%20optimal%20point%2C%20materialized%20by%20the%20black%20cross%20in%20the%20center%20of%20the%20graph.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%208%20%E2%80%93%20Optimization%20with%20the%20Contour%20Profiler%20%E2%80%93%20The%20Contour%20Profiler%20displays%20the%20welding%20speed%20on%20the%20x-axis%20and%20the%20laser%20power%20on%20the%20y-axis%2C%20with%20the%20position%20and%20side%20values%20fixed.%20Arbitrarily%2C%20the%20side%20value%20was%20set%20to%20DS.%20As%20for%20the%20position%2C%20it%20was%20set%20to%20the%20latter.%20The%20weldability%20lobe%20where%20the%20weld%20bead%20is%20free%20of%20defects%20was%20reproduced%20in%20black%20using%20a%20script%20and%20the%20polygon%20drawing%20function.The%20iso-resistance%20curves%20of%20the%20model%2C%20in%20red%2C%20are%20also%20plotted.%20The%20associated%20resistance%20percentages%20are%20also%20displayed%20in%20red.%20The%20welding%20speed%20and%20laser%20power%20sliders%20are%20set%20to%20the%20coordinates%20of%20the%20optimal%20point%2C%20materialized%20by%20the%20black%20cross%20in%20the%20center%20of%20the%20graph.%3C%2FSPAN%3E%3C%2FSPAN%3E%20%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EIf%20we%20add%20to%20this%20the%20fact%20that%20the%20welding%20speed%20should%20be%20as%20fast%20as%20possible%20for%20a%20maximum%20productivity%2C%20the%20coordinate%20spot%20(11%20mpm%2C%206kW)%20proves%20to%20be%20ideal.%20Not%20only%20does%20it%20meet%20all%20the%20above%20criteria%2C%20but%20it%20also%20offers%20a%20satisfactory%20safety%20margin%20for%20an%20industrial%20process.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EOf%20course%2C%20these%20settings%20have%20been%20tested.%20The%20results%20are%20presented%20%5B%3C%2FSPAN%3E%3CSPAN%3EFigure%209%20%3C%2FSPAN%3E%3CSPAN%3Eand%26nbsp%3B%3C%2FSPAN%3E%3CSPAN%3EFigure%2010%3C%2FSPAN%3E%3CSPAN%3E.%5D%20In%20summary%2C%20the%20weld%20seam%20has%20a%20defect-free%20surface%20with%20a%20strength%20across%20the%20entire%20width%20comparable%20to%20that%20of%20the%20base%20material.%20The%20objective%20has%20been%20achieved!%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%204%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%209%20%E2%80%93%20Optimum%20preset%20and%20weld%20seam%20appearance%20%E2%80%93%20%20The%20figure%20shows%20the%20upper%20(left)%20and%20lower%20(right)%20weld%20bead%20facies.%20The%20latter%20are%20free%20of%20the%20main%20welding%20defects.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%209%20%E2%80%93%20Optimum%20preset%20and%20weld%20seam%20appearance%20%E2%80%93%20%20The%20figure%20shows%20the%20upper%20(left)%20and%20lower%20(right)%20weld%20bead%20facies.%20The%20latter%20are%20free%20of%20the%20main%20welding%20defects.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43967iC0CE6C82C51213DD%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%209.png%22%20alt%3D%22Figure%209%20%E2%80%93%20Optimum%20preset%20and%20weld%20seam%20appearance%20%E2%80%93%20%20The%20figure%20shows%20the%20upper%20(left)%20and%20lower%20(right)%20weld%20bead%20facies.%20The%20latter%20are%20free%20of%20the%20main%20welding%20defects.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%209%20%E2%80%93%20Optimum%20preset%20and%20weld%20seam%20appearance%20%E2%80%93%20%20The%20figure%20shows%20the%20upper%20(left)%20and%20lower%20(right)%20weld%20bead%20facies.%20The%20latter%20are%20free%20of%20the%20main%20welding%20defects.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%209%20%E2%80%93%20Optimum%20preset%20and%20weld%20seam%20appearance%20%E2%80%93%20The%20figure%20shows%20the%20upper%20(left)%20and%20lower%20(right)%20weld%20bead%20facies.%20The%20latter%20are%20free%20of%20the%20main%20welding%20defects.%3C%2FSPAN%3E%3C%2FSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%2010%20%E2%80%93%20Optimum%20preset%20and%20weld%20strength%20%E2%80%93%20%20The%20figure%20shows%20the%20results%20of%20the%203%20Erichsen-type%20cupping%20tests%20performed%20on%20the%20DS%2C%20C%20and%20OS%20sides.%20Visually%2C%20it%20can%20be%20seen%20that%20it%20is%20the%20material%20that%20breaks%20and%20not%20the%20weld.%20Moreover%2C%20all%20the%20tests%20show%20a%20strength%20level%20comparable%20to%20the%20base%20material%20one.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%2010%20%E2%80%93%20Optimum%20preset%20and%20weld%20strength%20%E2%80%93%20%20The%20figure%20shows%20the%20results%20of%20the%203%20Erichsen-type%20cupping%20tests%20performed%20on%20the%20DS%2C%20C%20and%20OS%20sides.%20Visually%2C%20it%20can%20be%20seen%20that%20it%20is%20the%20material%20that%20breaks%20and%20not%20the%20weld.%20Moreover%2C%20all%20the%20tests%20show%20a%20strength%20level%20comparable%20to%20the%20base%20material%20one.%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43968i5673A75C5FA5E7C1%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%2010.png%22%20alt%3D%22Figure%2010%20%E2%80%93%20Optimum%20preset%20and%20weld%20strength%20%E2%80%93%20%20The%20figure%20shows%20the%20results%20of%20the%203%20Erichsen-type%20cupping%20tests%20performed%20on%20the%20DS%2C%20C%20and%20OS%20sides.%20Visually%2C%20it%20can%20be%20seen%20that%20it%20is%20the%20material%20that%20breaks%20and%20not%20the%20weld.%20Moreover%2C%20all%20the%20tests%20show%20a%20strength%20level%20comparable%20to%20the%20base%20material%20one.%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%2010%20%E2%80%93%20Optimum%20preset%20and%20weld%20strength%20%E2%80%93%20%20The%20figure%20shows%20the%20results%20of%20the%203%20Erichsen-type%20cupping%20tests%20performed%20on%20the%20DS%2C%20C%20and%20OS%20sides.%20Visually%2C%20it%20can%20be%20seen%20that%20it%20is%20the%20material%20that%20breaks%20and%20not%20the%20weld.%20Moreover%2C%20all%20the%20tests%20show%20a%20strength%20level%20comparable%20to%20the%20base%20material%20one.%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%2010%20%E2%80%93%20Optimum%20preset%20and%20weld%20strength%20%E2%80%93%20The%20figure%20shows%20the%20results%20of%20the%203%20Erichsen-type%20cupping%20tests%20performed%20on%20the%20DS%2C%20C%20and%20OS%20sides.%20Visually%2C%20it%20can%20be%20seen%20that%20it%20is%20the%20material%20that%20breaks%20and%20not%20the%20weld.%20Moreover%2C%20all%20the%20tests%20show%20a%20strength%20level%20comparable%20to%20the%20base%20material%20one.%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E5.%20Conclusion%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EFinding%20the%20optimal%20laser%20welding%20parameters%20for%20a%20given%20material%20is%20not%20easy.%20Fortunately%2C%20JMP%20offers%20a%20suite%20of%20platforms%20that%2C%20in%20one%20combined%2C%20provide%20a%20rigorous%20approach%20to%20achieving%20our%20goal.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20use%20of%20the%20Graph%20Builder%2C%20Personal%20Map%20Shape%20and%20Dashboards%20allowed%20us%20to%20visually%20organize%20our%20data%20both%20in%20terms%20of%20welding%20defects%20(welding%20flaws%20map%2C%20weldability%20lobe)%20and%20strength%20(Erichsen-type%20cupping%20tests).%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20ANOVA%20and%20Distribution%20platforms%20were%20used%20to%20make%20informed%20decisions%20about%20the%20equivalence%20of%20the%20plates%20to%20be%20processed%20and%20their%20level%20of%20strength.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EOnce%20the%20weldability%20zone%20was%20determined%20(zone%20where%20the%20weld%20beads%20are%20free%20of%20defects)%2C%20the%20strength%20of%20the%20weld%20bead%20was%20studied%20using%20the%20design%20of%20experiments%20methodology.%20In%20this%20paper%2C%20only%202%20parameters%20were%20considered%20(laser%20power%2C%20welding%20speed).%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%3EThe%20Custom%20Design%20platform%20allowed%20for%20a%20high%20degree%20of%20customization%20of%20the%20tests%20in%20relation%20to%20the%20encountered%20constraints.%20The%20highly%20irregular%20shape%20of%20the%20study%20area%20gave%20the%20opportunity%20to%20use%20the%20candidate%20point%20method%20(covariates)%2C%20in%20addition%20to%20other%20features%20such%20as%20split-plot%20design%20and%20uncontrolled%20factors.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThe%20modeling%20of%20the%20weld%20strength%20via%20the%20Fit%20Model%20platform%20allowed%20not%20only%20to%20understand%20the%20involved%20physical%20phenomena%20but%20also%20to%20proceed%20to%20a%20multi-criteria%20optimization%20via%20the%20Contour%20Profiler.%20Finally%2C%20the%20objective%20was%20achieved%20since%20all%20the%20steps%20allowed%20to%20propose%20and%20validate%20a%20set%20point%20with%20a%20maximum%20productivity%20and%20a%20good%20weld%2C%20both%20defect-free%20and%20resistant.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EThis%20step%20is%20part%20of%20an%20extensive%2C%20very%20high-value%20data%20acquisition%20program%20that%20will%20allow%2C%20just%20as%20it%20did%20in%202019%20with%20the%20laser%20cutting%20process%2C%20the%20development%20of%20a%20laser%20welding%20model%20that%20will%20provide%20robust%20welding%20instructions%2C%20regardless%20of%20the%20incoming%20product%2C%20the%20final%20step%20to%20fully%20automate%20the%20machine.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3E6.%20About%20Clecim%20SAS%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EClecim%20SAS%2C%20based%20in%20Montbrison%20(Loire)%2C%20joined%20the%20Mutares%20group%20on%20April%201%2C%202021.%20It%20is%20an%20engineering%20and%20production%20company%2C%20bringing%20its%20expertise%20in%20services%20and%20manufacturing%20in%20particular%20for%20the%20metallurgical%20industry.%20Its%20main%20activity%20is%20the%20operational%20support%20of%20the%20performance%20of%20its%20flat%20steel%20producer%20customers%2C%20in%20particular%20for%20the%20automotive%20market.%20This%20support%20takes%20the%20form%20of%20studies%20and%20advice%20on%20the%20improvement%20of%20their%20production%20tools%2C%20the%20supply%20of%20special%20machines%20to%20optimize%20performance%20and%2C%20if%20necessary%2C%20the%20supply%20of%20complete%20production%20lines%20based%20on%20the%20latest%20technologies.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EFor%20decades%2C%20Clecim%20SAS%20has%20been%20promoting%20innovation%20in%20the%20steel%20industry%20and%20is%20constantly%20looking%20for%20new%20solutions%20to%20provide%20metal%20producers%20with%20state-of-the-art%20equipment%2C%20allowing%20them%20to%20gain%20a%20competitive%20advantage.%20Our%20latest%20areas%20of%20focus%20include%20new%20technologically%20differentiated%20solutions%2C%20advanced%20process%20analysis%20and%20optimization.%20Of%20particular%20note%20in%20this%20area%20are%20world-renowned%20high-level%20solutions%20such%20as%20special%20laser%20welding%20machines%2C%20surface%20inspection%20systems%2C%20rolling%20equipment%2C%20and%20galvanizing%20lines%20for%20flat%20steel%20for%20the%20automotive%20market.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CP%3E%3CSPAN%3EWith%20its%20own%20factory%2C%20Clecim%20SAS%20is%20able%20to%20manufacture%20and%20test%20complete%20machines.%20The%20company%20has%20many%20skills%20(engineering%2C%20manufacturing%2C%20testing)%20allowing%20it%20to%20master%20the%20entire%20value%20chain.%20Clecim%20SAS%20can%20also%20provide%20its%20customers%20with%20a%20pilot%20rolling%20mill%20for%20the%20development%20and%20confirmation%20of%20flattening%2C%20rolling%20and%20tribology%20models.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-inline%22%20image-alt%3D%22Figure%2011%20%E2%80%93%20Clecim%20SAS%20(Montbrison%20city%2C%20France)%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Figure%2011%20%E2%80%93%20Clecim%20SAS%20(Montbrison%20city%2C%20France)%22%20style%3D%22width%3A%20400px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43969i5291C12143089B37%2Fimage-size%2Fmedium%3Fv%3Dv2%26amp%3Bpx%3D400%22%20role%3D%22button%22%20title%3D%22Figure%2011.png%22%20alt%3D%22Figure%2011%20%E2%80%93%20Clecim%20SAS%20(Montbrison%20city%2C%20France)%22%20%2F%3E%3Cspan%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%2011%20%E2%80%93%20Clecim%20SAS%20(Montbrison%20city%2C%20France)%3C%2Fspan%3E%3C%2Fspan%3E%3CSPAN%20class%3D%22lia-inline-image-caption%22%20onclick%3D%22event.preventDefault()%3B%22%3EFigure%2011%20%E2%80%93%20Clecim%20SAS%20(Montbrison%20city%2C%20France)%3C%2FSPAN%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSTRONG%3EAbout%20the%20author%3C%2FSTRONG%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-left%22%20image-alt%3D%22Ste%CC%81phane%20Georges.png%22%20style%3D%22width%3A%2092px%3B%22%3E%3Cspan%20class%3D%22lia-inline-image-display-wrapper%22%20image-alt%3D%22Ste%CC%81phane%20Georges.png%22%20style%3D%22width%3A%2092px%3B%22%3E%3Cimg%20src%3D%22https%3A%2F%2Fcommunity.jmp.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F43970i040E526F4C529494%2Fimage-dimensions%2F92x118%3Fv%3Dv2%22%20width%3D%2292%22%20height%3D%22118%22%20role%3D%22button%22%20title%3D%22Ste%CC%81phane%20Georges.png%22%20alt%3D%22Ste%CC%81phane%20Georges.png%22%20%2F%3E%3C%2Fspan%3E%3C%2FSPAN%3EGraduated%20from%20Grenoble%20INP%20in%20Materials%20Science%20and%20Process%20Engineering%2C%20Ste%CC%81phane%20GEORGES%20(47y)%20joined%20Clecim%20SAS%20in%202001.%20After%20holding%20several%20positions%20in%20the%20Automation%2C%20Modeling%20and%20Process%20Control%20department%2C%20and%20after%203%20years%20of%20expatriation%20in%20Erlangen%20at%20Siemens%20in%20Germany%2C%20Ste%CC%81phane%20moved%20to%20the%20position%20of%20R%26amp%3BD%20Project%20Manager.%20His%20various%20missions%20related%20to%20industrial%26nbsp%3B%3C%2FSPAN%3E%3CSPAN%3Eprocesses%20lead%20him%20to%20use%20his%20skills%20in%20smart%20experimentation%2C%20statistical%20analysis%20and%20modeling%2C%20coding%2C%20machine%20learning%20and%20deep%20learning%20to%20make%20the%20most%20of%20data.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSTRONG%3EAcknowledgment%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%3EWe%20would%20like%20to%20express%20our%20thanks%20and%20gratitude%20to%20Florence%20Kussener%20of%20JMP%20for%20her%20support%20in%20using%20the%20software%20and%20preparing%20us%20for%20our%20first%20ever%20participation%20in%20the%20Discovery%20Summit.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSTRONG%3EReferences%3C%2FSTRONG%3E%3C%2FP%3E%0A%3CP%3E%3CFONT%20size%3D%222%22%3E%3CEM%3E%5B1%5D%20Andre%CC%81%20Auge%CC%81%2C%20JMP%20Addict%3A%20Tips%20and%20Tricks%20Workshop%3A%20Customize%20Your%20Reports%20and%20Chart%20Builder%20Tips%2C%20Webinar%2C%202021%2C%20shorturl.at%2FjqAZ2%3CBR%20%2F%3E%5B2%5D%20Lekivetz%20Ryan%2C%20What%20is%20a%20covariate%20in%20design%20of%20experiments%2C%20article%2C%20JMP%20Community%2C%202021%2C%20shorturl.at%2FhqvH4%3C%2FEM%3E%3C%2FFONT%3E%3C%2FP%3E%0A%3CP%3E%3CFONT%20size%3D%222%22%3E%3CEM%3E%5B3%5D%20Lekivetz%20Ryan%2C%20Developer%20Tutorial%20-%20Handling%20Covariates%20Effectively%20when%20Designing%20Experiments%2C%20webinar%2C%20JMP%20Community%2C%202021%2C%20shorturl.at%2FfvEZ0%3CBR%20%2F%3E%5B4%5D%20Peter%20Goos%2C%20Bradley%20Jones%2C%20Optimal%20Design%20of%20Experiments%3A%20A%20Case%20Study%20Approach%2C%20Wiley%2C%202011%3C%2FEM%3E%3C%2FFONT%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%3ECLECIM%3C%2FSPAN%3E%3CSPAN%3E%C2%AE%20%3C%2FSPAN%3E%3CSPAN%3Eis%20an%20internationally%20registered%20trademark%20owned%20by%20company%20Clecim%20SAS.%3C%2FSPAN%3E%3C%2FP%3E%0A%3CDIV%20class%3D%22page%22%20title%3D%22Page%205%22%3E%0A%3CDIV%20class%3D%22layoutArea%22%3E%0A%3CDIV%20class%3D%22column%22%3E%0A%3CP%3E%3CSPAN%3EClecim%20SAS%20all%20rights%20reserved%20%3C%2FSPAN%3E%3CSPAN%3E%E2%80%93%20%3C%2FSPAN%3E%3CSPAN%3E2022-feb-02%3C%2FSPAN%3E%3C%2FP%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%0A%3C%2FDIV%3E%3C%2FLINGO-BODY%3E%3CLINGO-LABS%20id%3D%22lingo-labs-446179%22%20slang%3D%22en-US%22%3E%3CLINGO-LABEL%3EBest%20of%20the%20Summit%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EBreakout%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EData%20Visualization%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EDOE%3C%2FLINGO-LABEL%3E%3C%2FLINGO-LABS%3E%3CLINGO-SUB%20id%3D%22lingo-sub-478573%22%20slang%3D%22en-US%22%3ERe%3A%20Finding%20the%20Optimal%20Parameters%20for%20Laser%20Welding%20of%20Steel%20Plates%20with%20JMP%20(2022-EU-45MP-1013)%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-478573%22%20slang%3D%22en-US%22%3E%3CP%3EWell%20done%2C%20St%C3%A9phane!%20Very%20nice%20presentation!%3C%2FP%3E%3C%2FLINGO-BODY%3E
Choose Language Hide Translation Bar

Finding the Optimal Parameters for Laser Welding of Steel Plates with JMP (2022-EU-45MP-1013)

Contributed Paper Winner

 

CLECIM® Laser Welding Machines
Finding the optimal parameters for laser welding of steel plates with JMP

Stéphane GEORGES

R&D and Data Science Project Manager, Dept. of Technology and Innovation Clecim SAS., 41 route de Feurs, CS 50099, 42600 Savigneux Cedex, France


Purpose To be considered good, a weld bead must meet two criteria: it must be free of defects (such as spatter, humpings, underfill, holes, etc.) and resistant (assessed by means of an Erichsen-type cupping test). The search for the optimal parameters for laser welding steel plates is already extremely demanding due to this double constraint. But if, on the top of that, you consider the productivity of the processing line and the quality of the incoming material, then the task becomes a challenge!

Approach And that is precisely this challenge that was overcome with the use of JMP. To achieve this result, many steps were implemented, all of them requiring the use of a JMP platform or feature:

  1. Base material strength analysis, qualification of the two plates to be welded [Graph builder, Map shape, ANOVA, Dashboard]
  2. Synthesis of the visual observations, production of the weld defects map, which determines a study area of irregular shape where the weld seam is flawless. [Graph builder, Multiple pictures hover label]
  3. Weld strength analysis and optimization on a non-homogeneous material and on the defined defect-free zone, given as a set of candidate points. [Custom design, Split-plot, Covariates, Uncontrolled factor, Fit model, Prediction and Contour profilers]

Findings and Value For the given material, the objective was achieved since all the steps allowed to propose and validate a set point with a maximum productivity and a good weld, both defect-free and resistant, JMP being pliable and able to adapt to all the constraints of the process and the material.

 

Key words: JMP, laser welding, design of experiments, DoE, covariates, LW21M, LW21H


 

Hello everyone.

Thank you for attending this experience sharing session on JMP.

My name is Stephane Georges,

I'm R&D Project Manager at Clecim, and I'm very keen on data science.

Today, we'll talk to you about the design of experiment methodology,

and more specifically, about the case we encountered when trying to find

optimal parameters for laser welding process.

During this presentation, I will show you how we use JMP for various platform

and how JMP adapted to the reality of the field by taking into account

a very irregular study area and a very imperfect study matter.

Without further delay, I will start my presentation

by telling you who we are and what we do.

Clecim is an engineering and production company of equipment

for the steel industry.

We are located in Montbrison in France in the surrounding of Lyon.

The history of Clecim is not new,

as we celebrated five years ago our 100th anniversary.

The area of the site is about 12 soccer field where work 230 employees,

mainly composed of managers and technicians.

A s we like statistics when working with JMP, here is the first one.

Our population is composed mainly of men, about 80 percent and 20 percent of women.

Concerning Clecim activities:

Our first activities is studies and consulting activities

for our flat steel producer customer.

We supply individual machine, or we supply a complete production line

such as pickling line, annealing line, galvanizing line, painting line and so on.

We also have an activity of services

for the furniture or spare parts, for export missions, maintenance,

and so on.

I put on this picture a typical layout of a galvanizing line.

This is to give you an idea of such processing line.

This one is dedicated to the automotive market

and the length of such an equipment is about half a kilometer,

so a very huge industrial plant.

When I talk previously about a machine,

I had in mind rolling equipment such as rolling mill, plate levellers,

automated strip surface inspection system, and even laser welding machine.

This is on this last equipment that we are going to focus on right now.

I will now talk to you about autogenous laser welding process.

Autogenous means without filling wire.

I will talk also about the parameter and factors that govern this process.

But first of all,

I would like to introduce our machine, the subject of our study.

On the left part of the slide, you can see our welding machine.

In fact, not only our welding machine but it's containment,

the machine is inside the containment

for safety reasons because we are using laser.

The dimension here

of the door gives you an idea of this welding machine of scale one.

This is a huge industry, our welding machine.

On the right part of this presentation, you can see a partial inside

of this welding machine, where you can see the clamps

and the [inaudible 00:04:37] of the machine.

Inside, you see the top portion of the strip,

the head and the tail of the strip,

that will be, first of all, cut also with laser and finally brought together

in order to be welded.

I will now talk to you about our target and constraint.

Of course,

our objective, our target is to have a good weld.

To do that, we need to achieve two objectives.

The first one is to have a weld seam which is defect- free.

Here on this slide, I put you an example of such a weld.

This is picture number one.

You can see on this picture that this whole thing is quite nice

without any defect.

When I talk about defect, here is a list of the typical defect

that we encounter when trying to weld with a laser.

Typically, we could have some patterns.

This is picture number two.

This is a top view.

In such a case, this is the molten material,

which is ejected from the top of the weld.

We could have also chain of pearls.

This is picture number three.

This time this is a bottom view,

and this is some droplets at the bottom of the weld seam.

We could have also

other defects, such as humpings, underfillings, or even holes.

This is picture number four here.

And here, typically, this is the case

when we have a very low travel speed and a very high power density.

Instead of welding, we are drilling at the material

and we create some holes.

Of course, this is we absolutely want to avoid.

Otherwise, we will decrease the resistance

of our weld.

This is a transition for the second objective

because we want not only the weld seam to be p erfect,

but we want it also to be resistant.

This is evaluated via an Erichsen type cupping test,

so this I will describe it a little bit later.

Our target is to have a trend as close as possible

to the one of the base material.

I will now talk to you about the last welding parameters,

the factor governing the process.

On this left part of this slide,

I put you a very schematic view of the process.

In gray at the bottom,

you can see the two pieces of material that we want to weld together

that can be of the same nature and thickness on it.

In yellow, this is laser welding head

that is connected in blue to its laser source.

In order to imagine

the kind of power that we use

for such an application, imagine that when you use a laser pointer,

typically for a presentation,

such kind of device has a power of just one milliwatt.

Here the last source we use has a power of 12 million times.

It is 12 million times more powerful that's such a small device.

Just to explain that we have a very huge power.

We need very little power to cut our material

and to weld also this material.

On the right part of this presentation,

I could use the process parameter, the typical process parameter,

which can be, first of all, the laser power,

the travel speed of the welding carriage,

the focusing distance, the gap between the plates,

the thermal treatment that we can apply afterwards, and so on.

But in fact,

for simplicity reason, in the rest of this presentation,

we will focus only on the two main one,

which is the laser power and the travel speed.

We will also consider

that the materials are identical and of the same thickness.

You will see that just with these two parameters we will have enough to do.

Okay, so the picture is set.

We have two targets.

One is to have a weld seam free of defect

and we want also to have its resistance.

We are now going to focus on our case study towards a good weld.

Our first target is to have a weld , which is defect- free.

We are going to search for what is called weldability lobe.

To do that, we need to get some data.

To get some data we will use the so called Power JMP procedure.

In that case, nothing to do with JMP, even if JMP is a powerful software.

But

this is how the procedure is called.

The picture on the bottom gives you an example of such a procedure.

At a fixed speed, we will perform 11 successive Power JMP.

In that case, we will switch from two kilowatts to eight kilowatts

to three kilowatts and so on.

The target is to reduce the number of options we have to do,

and in just one weld, we will have 11 sample

and we will have 11 observations to do.

Afterwards, we will visually examine

the upper part of our bead, the lower part of our bead

for each slot of this sample.

All of these data are collected into JMP

and we will use the Graph Builder platform in order

to display this map.

This is what I'm going to show you right now.

I go to my JMP journal here.

We will have four steps to follow.

This is our first step, building the welding format.

I will open

my table.

I collected all the data in this table.

I have all my parameters here, so the laser power, the welding speed.

In this column, I inserted my visual observation.

Is there any penetration? Yes/N o.

Do we have material loss? Yes/N o.

Humping? Yes/No, and so on.

A t the end of this file, I also put, as you can see,

I had two additional columns

of expression vector type where I have inserted

the picture of all my observations.

As you can see here also, I requested to have this information

displayed in the study area.

Now, we are ready to open our Graph Builder.

Here

I can learn it, okay?

All the data has been collected in this map.

Here you can see that on the X- axis, I put my welding speed.

On the Y- axis, I have my laser power.

I have associated for each defect color or shape.

A lso, we can have an association of the color and shape in that way,

which is a convenient way because we can overlay

four different type of defects at the same time for each point.

This is what I'm going to show you.

For instance, if I take this blue point here,

according to the legend, we have top spatters.

This is exactly what my pictures show you.

Here, this is the picture of the upper part of my weld,

here is a picture of the lower part of my weld.

Here we can see that we have effectively top spatters,

whereas the bottom part is defect- free.

For instance, if I take another one, if I take this purple one here.

So purple, this is the association of the blue defect and the red defect.

We have top spatters and bottom spatters,

which is effectively what we can see here on that picture.

This is a convenient way to see if effectively.

I have no mistake in order to know the magnitude of the defect.

This feature using the pictures is also very convenient because, for instance,

if I take this point here and I lock the pictures,

and if I take this additional point here and I lock also the pictures,

we can see that for constant laser power, I can compare the pictures

and see what are the effects when varying the welding speed.

In that case,

when we increase our welding speed, we can see that the width of our weld seam

decrease both on the top and both on the bottom.

This is a convenient way, let's say,

to dip into the understanding of our process.

I will close that.

I'll come back to my study case.

We are interested in the good weld area.

This is the area that I'm going to highlight here.

This is the black area.

Okay, like that.

Okay, this is our area of interest.

Now, what we want to do,

let's say, to investigate

the behavior of our weld seam

from the resistance point of view on that typical area.

Of course, we want to do it with a minimum number of tests

and we will perform a design of experiment

on this very

irregular study area.

Okay, so I go back to my presentation.

But

before answering into the conception of the design of experiment,

we have another interesting topic to do with JMP,

because we have, first of all, to study the strength of our base material.

We have to evaluate

the basic strength of the material via an Erichsen- type cupping test.

Why are we doing that?

We have three targets, three objectives.

The first one this is to establish

a reference from the strength point of view.

In that way, we will be able to compare

the resistance of our base material with the resistance of our weld seam.

This is the first point.

The second point is to be able to compare the two pieces of material

that our customer sends us.

We want to be sure that these two pieces

have the same behavior.

For that, we have to ensure

that they can be comparable.

The last point is that we want also to check that the plates are homogeneous

from the resistance point of view and that they do not present

any resistance profile in their widths or in their lengths.

To do our Eric hsen-type cupping test, we will do that on the base material.

This is what is mentioned,

what is highlighted here in the three first pictures.

We do not have any weld.

We're just performing this Erichsen- type cupping test.

For simplicity reason

I will call this procedure ball test in the remaining part of the presentation.

These three ball tests, we do them on three different positions

of the material, one located at the center of our sample,

one located on what we call the drive side on the machine,

and one located on the operator side of the machine.

For one sample, we do free tests.

What is a ball test?

In fact, this is explained

in the pictures located at the bottom of this slide.

We simply take

a bowl made in titanium, and we will press it from the bottom

and we will register the deformation of the material,

and we will register

the breakage force.

We do that for our two plates,

and we register all of that in JMP and analyze the results in JMP.

We will use the distribution platform and the Fit X by Y platform.

This is what I'm going to show you right now.

I go back to my JMP journal.

This is our second step, analyzes the base material.

I will open my file.

Here, I put all my data.

My plate ID, plate number 1 and 2.

For each plate I do that twice.

For each sample, we perform the measurements

at three different locations,

and here are the recorded value, the recorded strength.

We will analyze all of that and I store everything into a dashboard.

First of all, this is interesting to see visually our result.

I will focus, first of all, on this custom map shape.

In blue, you have the data for the first plate,

where I have my first sample and second sample.

For each sample, I have my free ball test, one located on the operator side,

one located in the center, and one located here on the drive side.

We have the same for the second piece of material.

What we can see here is that the resistance

goes through the following rates, so from nine to 10.4 tons.

Nothing really particular to see, except maybe that

here in the operator side, we can see that we have on the same side

the external value.

Here is the lowest value and here is the maximum value,

so maybe that will be something to look at

but we will come to this a little bit later.

Our target is to perform an ANOVA in order

to see if our two plates can be considered as comparable.

But before doing an ANOVA,

we need to ensure that our data follow a normal distribution

and that our variances can be considered as equal,

so this is what we are going to do right now.

Here are the distribution for plate number 1, for plate number 2.

Okay, I know that I do not have a lot of data,

but we will consider that we have enough to perform the test.

We will look at the two Anderson-Darling coefficients here.

What the p-value tells us is that we cannot reject the hypothesis

that the two plates can be comparable so that's good.

Then concerning the variances, so here we use another platform,

but we first go at the end, we perform the variance analysis here,

and we will look at the F Test, and the F Test tell us

that we can consider as our variance are equal.

As our data are normally distributed on our variant article,

we can apply safely our ANOVA.

This is what is mentioned here.

On the top part, you have the drawing.

Here are the associated data.

I will not focus on the data.

We will just have a look at the pictures.

Here, what we can see,

this is the extremities of the two diamonds overlap.

We cannot reject the hypothesis that our two plates are different,

so this is good.

We will now reach the conclusion that our two plates are equivalent.

We can now aggregate all the data.

This is what is done here in the distribution.

We put all our data together,

and finally, we have a global resistance of our plate of 9.76 tons

plus or minus 0.17 at two standard deviations.

This is the first point and we will use this information a little bit later.

Another interesting thing,

so this is what is mentioned here.

We can also perform the ANOVA taking into account the position.

And this as we have previously observed,

we can see that the run variation on the operator side

is a little bit higher

compared to the drive side and the center of our plate.

We want to understand a little bit why such things happen.

To do that, I will come back to my presentation,

we will have a look at the plate.

We are studying at the moment.

Here is the appearance of our sheet metal.

What we can see is that on the drive side here,

our plate is nearly flat, I would say.

But on the contrary,

on the operator side, we clearly see that the plates have some waves.

I do not know exactly what is the history

of this material, but we can clearly imagine that

there was a trouble at the rolling m ill or the plate leveller

and that the higher force has been applied on the operator side,

leading to this kind of periodic modification of the resistance.

This is a new constraint because we have to take into account

this new information in our design of experiment.

I will sum up all the information we have before building our design of experiment.

First of all, I remind you that we have a very irregular study area.

This is a black area that is mentioned here

in the drawing.

The traditional way

to deal with such things in JMP would be to fill up a linear constraint.

But here due to the shape of this area, it's a little bit difficult.

Instead, we prefer to use the Candidate Points technique,

which is called also Covariates engine.

I remind you also that we have an inhomogeneous plate

and to deal with this phenomenon, we will have to introduce a few parameters

into our design of experiment.

First of all, we have to take into account the strength variation in the width.

To do that, we will introduce a categor ial parameter,

a 3 levels- categorial parameters,

and the three levels are drive side, center, and operator sides.

In order to deal with the periodic variation of the resistance

along the length of the plate, well, this is a little bit difficult,

because, in fact, we do not control this parameter.

We have to be on

this variation.

For that, we will introduce the weld position

from the head of the plate, or in millimeter,

and we will introduce it as an uncontrolled parameter.

Finally, this is not finished.

This is what you can realize, what you can see

in the last picture at the bottom.

This is typically here a picture of a weld,

where are located above three ball tests.

Well, these ball tests are not independent.

They belong to the same treatment.

They belong to the same weld.

They are at the same weld position.

We are

in the presence of split/ plot design,

where we have hard and easy- to- change parameter.

This is a lot of constraints we have to take into account.

Now, I will show you how to do that with JMP.

I can go back to my JMP journal, so this is our first step.

But I will show you from the beginning and I will go back here

to this step.

I come back to the file I had previously.

I will select here

all the rows with a Good Weld.

I will also select

another power column, my welding speed column.

In the table here, I will extract a subset of this table.

I will extract selected line.

I will extract the selected column here.

Okay, I will build my subset of Candidate Points.

But here is the tricky thing because, in fact,

as we have a design also, I need to tell them that

you will have the possibility to select three times each point.

I will multiply by three this number of points.

There is probably a lot of way to do that.

In my case, I will just create three columns,

one call it drive side,

one call it center,

one call it operator side,

and I will just stack all these

using that three columns.

Here I have created my set of Candidate Points.

With the Graph Builder, I will check that everything is okay.

In the Y- axis, I will put the laser power. On the X- axis, I will put the laser speed.

Here, we can recognize the shape of our irregular study area.

I will also put here the label into the color sections.

Each of my points has been multiplied by three.

This is exactly what I wanted.

I can use this as a starting point.

This is a set of my Candidate Points.

I could have additional points.

I could have done a little bit all of that.

I could have added some points here, for instance, and so on.

But to be honest, the discretization steps are fine for me.

I will keep all the points like that.

I will open now my design of experiment menu,

go to my Custom Design platform.

In the response, I want to measure the strength of the material.

In the Factors, I will add my first parameter,

Laser power and welding speed as Covariate.

I select Covariate, I select laser power and Welding parameter.

Automatically, JMP fills up the lowest and highest value for these two parameter.

I will add also my 3-level categorial parameter.

I call it side,

and my level drive side,

center, and operator side.

I do not forget also to add my uncontrolled parameter.

This is the position of the weld.

This is an uncontrolled parameter.

I do not know the limits, so I put nothing in these boxes.

I also do not forget to change here

in order to take it into account the speed/plot feature.

I mentioned here that my laser power and welding speed are hard-to-change

compared to the side.

Everything is correct here, so we can run.

Concerning the constraints, I do not need this area,

because I already took into account my constraints

when selected my covariate, so I do not need here.

Concerning the model, I immediately choose RSM.

But in that RSM, I will suppress the interaction of the laser power

with the position and the interaction of the position

with the welding speed

because there is clearly no interaction at all.

I will immediately click on the Make Design button

because it will take some moment.

Here we can see that JMP proposed me

to perform eight tests with 24 measurements.

This is fine for me.

I keep this default parameter.

I make my table here.

Okay.

This is the defect concerning to laser power, welding speed, side.

I have the column ,

I will record the position of my welding speed,

where I will record the strength, so everything is okay.

I will never visualize the point into the Graph Builder.

I put, once again, the laser power in the Y- axis,

the welding speed will in the X -axis.

Perfect, and we read curve.

I will also put the side here into the Color area.

I will add some details.

Okay, here we can see that this is the point

that has been selected by JMP within the framework of our Candidate set.

For each point, I have to perform three measurements,

on drive side, center, and operator side,

and JMP wants me to perform this test twice.

Okay , so this is what we have done.

I will now show you the result.

I go back to my JMP journal here.

This is our last step, the result analysis.

I will open the associated table.

Here, this is the same table as previously.

I have recorded the positions.

I have recorded the strength in absolute value in terms.

I have inserted two columns here.

This is our

reference strength,

the strength of our base material that we have previously determined.

This is 9.76 tons,

because, in fact, I will use it in order to create this extra column,

this is the strength, but in percent compared to the base material.

This is on this last column.

This is the first column that we will take into account in our optimizations.

I store my analysis into each column here.

Here are the results.

As a reminder, I put on the right part.

the irregular area as a reminder.

Here are the experimental points that we have performed.

I have colored the point using the strengths in percent.

I use the Fit Model platform in order to create my model.

Step by step, I have suppressed the non-significant interaction

of our parameter

using the p-values here.

Finally, I have a model

with an explicative power of two of 96 percent,

which is quite good because, in fact, it means

that only four percent of the wall variation

escape to our prediction power.

Concerning the collinearities , if I look to our VIF,

our variance inflation factor, all of them are below three.

We can be now confident

in our model and we can use it in prediction.

We can go to the prediction profiler here.

First of all, I will focus on this part,

on the interaction of the position with the side.

What you can see here,

if I move the position of the weld,

it seems that the resistance is not sensitive

to the positions on the drive side and center.

But on the contrary, on the operator side, this one is clearly

influenced by the positions.

This is exactly what we have seen in our plate.

This is a modeling of our waves.

Here we do not see this kind of shape because this can be easily explained.

Our weld are not so huge.

It's only a sample of six centimeters.

We do not consume a lot of material.

We do not go along the wall

with that shape.

We go from the bottom to the top only.

We are quite happy because we were able

to analyze and to model correctly this behavior.

This is interesting because

we can now have access to the pure effect of the laser power and welding speed.

This is what is mentioned here.

For this particular material,

we can conclude that we can increase the resistance of this material

by decreasing the laser power or by increasing the welding speed.

Now what we have to do

this is to determine an optimal point using all the information we have.

To do that, we prefer to do it using the control profiler.

This is what I have mentioned here.

In this control profiler, once again, I put in the X- axis,

the welding speed, in the Y- axis, I have the laser power.

I have reproduced

my area, my irregular area

where I am defect- free.

To do that,

I have simply

implement a script.

Here is a list of points,

and I just asked JMP to use this point and to draw a polygon.

I have my black area where I am defect- free.

On that drawing, I have also inserted the ISO resistance curve.

Here in red, you can see the values of this ISO resistance.

We can see that, here, we go from 50 percent to nearly 100 percent.

Before doing the optimization, I will add another constraint.

It's not enough.

From the productivity point of view,

we want, of course, to go as fast as possible and we want to have

the highest welding speed.

Using all that information, we have selected

the point at six kilowatts and 11 meters per minute.

This is the point that has been located here.

Why?

Because this point is located in the black area,

where the w eld seam is free of defect.

We can see using our model that we expect this point

to have at least a resistance of 90 percent of the resistance

of the best material.

What is interesting also is at this point

we have enough safety merging around this point.

Of course, we have tested this point and this is the result.

But I'm going to show you right now.

I go back to my presentation, which is located here.

This is the result of the optimal point we are choosing.

First of all, on this slide, you can see on the left part,

the upper w eld bead pictures,

on the right side, the lower weld bead pictures.

You can see that the weld seam are free of defect.

We have no patterns, we have no droplet, no chain of pearl, no holes, et cetera.

This is what we wanted.

From a resistance point of view, first of all, if we focus on the pictures,

we can see that this is the material that breaks

and this is not the weld seam that opens, so this is the first good point.

Concerning the resistance, we can see that each of them

are higher than 90 percent.

This is exactly what we wanted,

let's say that we have achieved our target.

This is the end of this presentation. This is now time to conclude.

First of all, I go back to my JMP journal, I would like to mention that

with this presentation, you have the possibility to download an article

that will be located

on the website.

Here you have a full article explaining all the case studies.

I have added additional material.

If you are interested in knowing more, please feel free to download it.

A s a conclusion, I would like to mention

that if some of you are interested in knowing more about covariates,

I would like to mention two available sources.

The first one is an article that you can find

on the JMP user community

entitled

"What is a covariate in design of experiments?"

Also from the same offer,

you have a webinar entitled "H andling Covariates E ffectively

when Designing Experiments."

To conclude, I put here a quote from Mark Twain

that humorously tells us that

"Facts are stubborn things, but statistics are pliable"

Inspired by Mark Twain,

I would like to say that facts are certainly stubborn things,

meaning complex, but don't panic

because, in fact, JMP can easily adapt to the reality of the field.

In my case,

he was able to adapt to a very irregular study area

and also to a very imperfect study material.

This is the end of my presentation.

I will now answer your question, so please feel free to ask.

If we run out of time, I mentioned here my contact information,

so please feel free to contact me,

and so I'm waiting now for your question.

Thanks a lot. Bye bye.

 

1. Background and introduction

Steel strip manufacturing ever reinvents itself by propositing new metallurgical concepts, requiring to tackle technical limitations of production systems. As a provider of mechatronic solutions for steel plate processing, Clecim SAS recently expanded its laser welder line with a next-generation machine capable of cutting and welding heavy plate using a 12kW laser source. Addressing the usual drawbacks in maintenance, operation and safety of current welding system based on mechanical cutting and CO2 laser welding, the newly developped LW21H (Heavy) welding machine benefits from a smarter approach by processing thicker strips up to 9 mm with solid-state laser cutting and welding. This new generation of welders, heir to Clecim SAS' 20 years of experience in welding and in particular its little sister - the LW21M (Medium) - pushes back the current limits of performance and technological drawbacks observed in solutions for thicker materials. It is materialized by a 1:1 scale pilot designed, manufactured and tested in Clecim SAS workshops [Figure 1.]

Figure 1b - A partial view of the inner part of the machine. Head and tail of the two plates will be cut by laser technology and then welded together.Figure 1b - A partial view of the inner part of the machine. Head and tail of the two plates will be cut by laser technology and then welded together.

Figure 1a –  An external view of the containment of the heavy laser welder at Montbrison workshop. The size of the door gives an idea of the dimensions of this industrial welder.Figure 1a – An external view of the containment of the heavy laser welder at Montbrison workshop. The size of the door gives an idea of the dimensions of this industrial welder.

In 2019, the laser cutting process was extensively studied and the use of Machine Learning techniques allowed for the conception of a model able of delivering robust cutting presets across the thickness range. Today, the focus is on the laser welding process and the acquisition of high-quality data that will soon allow the creation of a welding model, the final step for a completely automated machine. To achieve a good weld, two criteria must be met: a weld seam free of defects (such as spatters, droplets, etc.), and a good strength. To reach this result on a given material, many steps have been followed:

  • The determination of the welding flaws map and the weldability lobe, area where the weld seam is defect-free

  • The determination of the base material strength to ensure that the pieces of material are identical and homogenous

  • The analysis and modeling, via a DoE of the weld seam strength on the previously determined weldability lobe, which usually has a highly irregular shape

    Let’s now dive into the details of these exciting steps, all of them requiring the use of a JMP platform.

 

Notation

M Material type

F Focusing distance

H Material thickness

G Gap between the plates 

P Laser power

T Thermal treatment

V Travel speed of the welding carriage

 

 

 

2. Laser welding process and factors

The welding process is made of 3 parts: the two plates to be welded which can be of the same nature and thickness or not, the laser welding head mounted onto a travelling carriage and connected to its 12kW laser source. To give an idea of the delivered power, a classic laser pointer used for a presentation has typically a power of 1mW. In comparison, the laser source used by Clecim SAS to cut and weld the pieces of material is 12 million times more powerful.

 

Generally speaking, the influencing parameters of laser welding belong to two categories, namely those related to the material to be welded itself, such as its nature M and thickness H, and those related to the process, such as the laser power used P, the speed of the welding carriage V, the focusing distance F, the heat treatment T or the spacing between the sheets G. To a lesser degree, other parameters are involved such as the inclination of the laser welding head, the type of shielding gas, its pressure, etc. Within the framework of this paper, only the used laser power P and travel speed of the welding carriage V will be considered. The materials to be welded will be identical and of the same thickness.

 

To put it in a nutshell, for the given pieces of material (M, H), two factors (P, V) have to be optimized with the goal of getting a flawless and resistant weld seam.

 

3. Weldability lobe

Figure 2 – Welding flaws map –  JMP Chart Builder is used to view the weld defect map. The major defect areas can easily be recognized: partial penetration (yellow), holes (orange), spatters (blue, purple), chain of pearls (horizontale stripes), defect-free area (black). Pictures of the top and bottom weld seam are displayed in the tooltip area when moving the mouse over.Figure 2 – Welding flaws map – JMP Chart Builder is used to view the weld defect map. The major defect areas can easily be recognized: partial penetration (yellow), holes (orange), spatters (blue, purple), chain of pearls (horizontale stripes), defect-free area (black). Pictures of the top and bottom weld seam are displayed in the tooltip area when moving the mouse over.The first step of the experimental approach consists in performing tests in order to build a map of welding defects and thus determine the weldability zone, i.e. the defect-free zone. Depending on the thickness of the material, the number of tests to perform can quickly become important. In effect, the goal is to test all the pairs (P, V) and to visually observe the quality of the weld bead to know if the combination (P, V) generates a defect or not. In order to drastically reduce the number of tests and to save time, the so-called “power jumps” procedure is used. In a single trial, at fixed speed, 11 power jumps, from 2 to 12kW in 1kW steps, are carried out giving the possibility to perform 11 tests in one. Regarding the welding speed, steps of 2 m/min were used from 3 to 18 m/min. In the end, the upper and lower parts of 88 weld seams were visually inspected and qualified.


The results were stored in a JMP table and evaluated using the Graph Builder platform [Figure 2.] The welding speed V is shown on the x-axis and the used laser power P on the y-axis. For a given speed, we find the 11 visual observations corresponding to the 11 power jumps of the test protocol. Thanks to the association of a color and a shape, in one combined, it is possible to represent four welding flaws at the same time and to visualize hence the major defect areas in this way. For each pair (P, V), pictures from the top and bottom weld seam have also been taken and stored into two expression/vector columns so that they can simultaneously appear in the tooltip area. By moving the mouse over the points, the pictures are displayed. This functionality allows to easily compare the influence of a factor change on the weld bead facies and thus to progressively enter into the understanding of the laser welding process.

 

4. Base material strength analysis

Before going further in the analysis of the welds, it is necessary to evaluate the strength of the base material, and this for 3 reasons:

 

  • The first reason is to establish a reference strength so thatwe can make comparisons.

  • The second one is to make sure that the 2 plates sent to usby our customer are comparable.

  • And the third one is to make sure that the plates are homogeneous and that they do not have any resistance profile in their width for instance. 

To do that, Erichsen-type cupping tests on plates without any welds. Stamping is done via a ball and the breakage resistance is automaticallyrecorded. The protocol provides for three measurements in the width of the plate. Positions are respectively DS (drive side of the welding machine), C (center) and OS (operator side). The various results are stored in a JMP table and summarized in a dashboard [Figure 3.]

Figure 3 – Base material strength analysis The dashboard is composed of various JMP platforms: Graph Builder, Distributions and ANOVA. The custom map shape[1] of the Graph Builder displays the two samples corresponding to each of the two plates and the position of the various cupping tests colored by strength. In the ANOVA, the overlap of the two diamond tips demonstrates that the plate can be considered as identical. The chart on the right shows that the strength variance is higher on operator side (OS). Once aggregated, data from the bottom distribution presents an average strength is 9.76±0.18 tons (at 2σ).Figure 3 – Base material strength analysis The dashboard is composed of various JMP platforms: Graph Builder, Distributions and ANOVA. The custom map shape[1] of the Graph Builder displays the two samples corresponding to each of the two plates and the position of the various cupping tests colored by strength. In the ANOVA, the overlap of the two diamond tips demonstrates that the plate can be considered as identical. The chart on the right shows that the strength variance is higher on operator side (OS). Once aggregated, data from the bottom distribution presents an average strength is 9.76±0.18 tons (at 2σ).

 

In summary, the two plates to be welded can be considered identical, but further investigations are needed to understand why the strength variance is higher on the operator side.

Figure 4 – Appearance of the plate –  The plates present a relatively flat aspect on the drive side and waves on the operator side. The history of the plates is unknown but there must have been a rolling of planishing issue with a higher force applied on the operator side, which created this appearance and a periodic modification of the strength.Figure 4 – Appearance of the plate – The plates present a relatively flat aspect on the drive side and waves on the operator side. The history of the plates is unknown but there must have been a rolling of planishing issue with a higher force applied on the operator side, which created this appearance and a periodic modification of the strength.

 

To understand the differences in resistance on the operator side, it is necessary to pay attention to the visual aspect of the plate[Figure 4.] Due to potential force variations during its treatment, the plates are inhomogeneous in term of strength in their width and length. 

 

4. Weld bead strength analysis

The construction of the test plan requires taking into account all the various constraints, 4 in number:

 

  • The first constraint is related to the irregularly shaped

    region[4-Ch.5] of the weldability lobe. The traditional way to do it would be to delimit the study area using multiple linear constraints. Although possible, it is the technique of the candidate points, also called covariates[2,3,4-Ch.9] in JMP, that has been chosen for the simplicity sake.

  • The second one, due to the plate inhomogeneity, is related to the strength changes in the width. To take this effect into account, a 3 levels (DS, C, OS) categorical parameter is envisaged.

  • The third one, also due to plate inhomogeneity, is related to the periodic and incurred strength changes in the length. This parameter cannot be controlled but it must nevertheless be considered in the future test plan.

  • Finally, the fourth one is related to the fact that the 3 values of the categorical parameter are not independent since they belong to the same treatment (i.e. weld). Subsequently, a split-plot design[4-Ch.10] with parameters hard or easy to change has to be considered.

Figure 5 – Building of the custom design of experiments – The Custom Design platform allows the creation of a completely customized test plan. The Responses part provides the list of responses to be optimized, in this case the goal is to look for the maximum strength. The Factors part presents the way how the four constraints have been addressed. As the position is uncontrolled, no values are input into the limits. The Model part displays all the factors and interactions considered in the model. RSM (Response Surface Methodology) is used, the interactions between the laser power, the welding speed and the side have been removed as they have been considered not significant. Finally, the Design Generation part proposes 8 trials and 24 measurements.Figure 5 – Building of the custom design of experiments – The Custom Design platform allows the creation of a completely customized test plan. The Responses part provides the list of responses to be optimized, in this case the goal is to look for the maximum strength. The Factors part presents the way how the four constraints have been addressed. As the position is uncontrolled, no values are input into the limits. The Model part displays all the factors and interactions considered in the model. RSM (Response Surface Methodology) is used, the interactions between the laser power, the welding speed and the side have been removed as they have been considered not significant. Finally, the Design Generation part proposes 8 trials and 24 measurements.

 

The creation of the custom design of experiments is explained in [Figure 5.] A total of 8 tests and 24 measurements is lastly considered. The test plan is executed and for each triplet (P, V, Side) the following data are recorded: the position of the weld (in mm, from one end of the plate), the value of the strength (in absolute and in percent of the base material strength). The strength of the welds is then modeled using the Fit Model platform [Figure 6.]

 

Figure 6 – Building of the custom design of experiments –  The results are presented into a dashboard. The irregular shape of the weldability lobe is reminded in the top right chart. The experimental points, proposed by the Custom Design platform, and the associated strength values, in percent, are summarized in the bottom right chart. Finally, the Fit Model platform on the left displays the modeling result. An explicative power R2 of 96% has been reached, meaning that only 4% of the variations escape its predictive power. The Effect Summary shows that the main effects (laser power, welding speed and position) are significant. The side factor is not directly significant, but becomes so when associated with the position. The VIFs (Variance Inflation Factors, not displayed here) have all a value smaller than 1.6, showing no multicolinearity issue (no linear relationship among two or more explanatory variables exists).Figure 6 – Building of the custom design of experiments – The results are presented into a dashboard. The irregular shape of the weldability lobe is reminded in the top right chart. The experimental points, proposed by the Custom Design platform, and the associated strength values, in percent, are summarized in the bottom right chart. Finally, the Fit Model platform on the left displays the modeling result. An explicative power R2 of 96% has been reached, meaning that only 4% of the variations escape its predictive power. The Effect Summary shows that the main effects (laser power, welding speed and position) are significant. The side factor is not directly significant, but becomes so when associated with the position. The VIFs (Variance Inflation Factors, not displayed here) have all a value smaller than 1.6, showing no multicolinearity issue (no linear relationship among two or more explanatory variables exists).

 

The resulting model being of good quality, it can be used in prediction. After correcting for the effects of weld position and sides, the trends attributable to laser power and traveling speed are clearly visible in the Prediction Profiler [Figure 7.] Figure 7 – Checking the model's behavior with the Profiler –  The upper profiler refers to low position values, the lower to high position values. The model response (strength in %) is shown on the y- axis, the factors on the x-axis. Weld after weld (increasing position), the strengthes on the DS and C sides remain mostly unchanged while the strength on the OS side changes dramatically, as observed visually. This phenomenon being well modeled, it is now possible to access the pure effects of laser power and welding speed. The weld strength increases when the laser power decreases and the traveling speed increases.Figure 7 – Checking the model's behavior with the Profiler – The upper profiler refers to low position values, the lower to high position values. The model response (strength in %) is shown on the y- axis, the factors on the x-axis. Weld after weld (increasing position), the strengthes on the DS and C sides remain mostly unchanged while the strength on the OS side changes dramatically, as observed visually. This phenomenon being well modeled, it is now possible to access the pure effects of laser power and welding speed. The weld strength increases when the laser power decreases and the traveling speed increases.For the considered material, there does not seem to be any interaction between the laser power and the welding speed. The weld strength therefore increases with the travelling speed and when the laser power decreases.

 

However, that being said, the work is not over yet. The limits of the weldability lobe must also be carefully considered in the search for an optimum. On the basis of the Prediction Profiler alone, this is not easy, so it is the Contour Profiler's turn to play!

 

The use of the Contour Profiler allows to superimpose the iso-resistance curves from the strength model with the weldability lobe [Figure 8.] Finding the optimal point requires locating a point that is not only within the weldability lobe but that also has the highest strength.

Figure 8 – Optimization with the Contour Profiler –  The Contour Profiler displays the welding speed on the x-axis and the laser power on the y-axis, with the position and side values fixed. Arbitrarily, the side value was set to DS. As for the position, it was set to the latter. The weldability lobe where the weld bead is free of defects was reproduced in black using a script and the polygon drawing function.The iso-resistance curves of the model, in red, are also plotted. The associated resistance percentages are also displayed in red. The welding speed and laser power sliders are set to the coordinates of the optimal point, materialized by the black cross in the center of the graph.Figure 8 – Optimization with the Contour Profiler – The Contour Profiler displays the welding speed on the x-axis and the laser power on the y-axis, with the position and side values fixed. Arbitrarily, the side value was set to DS. As for the position, it was set to the latter. The weldability lobe where the weld bead is free of defects was reproduced in black using a script and the polygon drawing function.The iso-resistance curves of the model, in red, are also plotted. The associated resistance percentages are also displayed in red. The welding speed and laser power sliders are set to the coordinates of the optimal point, materialized by the black cross in the center of the graph.

 

If we add to this the fact that the welding speed should be as fast as possible for a maximum productivity, the coordinate spot (11 mpm, 6kW) proves to be ideal. Not only does it meet all the above criteria, but it also offers a satisfactory safety margin for an industrial process.

Of course, these settings have been tested. The results are presented [Figure 9 and Figure 10.] In summary, the weld seam has a defect-free surface with a strength across the entire width comparable to that of the base material. The objective has been achieved!

Figure 9 – Optimum preset and weld seam appearance –  The figure shows the upper (left) and lower (right) weld bead facies. The latter are free of the main welding defects.Figure 9 – Optimum preset and weld seam appearance – The figure shows the upper (left) and lower (right) weld bead facies. The latter are free of the main welding defects.Figure 10 – Optimum preset and weld strength –  The figure shows the results of the 3 Erichsen-type cupping tests performed on the DS, C and OS sides. Visually, it can be seen that it is the material that breaks and not the weld. Moreover, all the tests show a strength level comparable to the base material one.Figure 10 – Optimum preset and weld strength – The figure shows the results of the 3 Erichsen-type cupping tests performed on the DS, C and OS sides. Visually, it can be seen that it is the material that breaks and not the weld. Moreover, all the tests show a strength level comparable to the base material one.

 

5. Conclusion

Finding the optimal laser welding parameters for a given material is not easy. Fortunately, JMP offers a suite of platforms that, in one combined, provide a rigorous approach to achieving our goal.

 

The use of the Graph Builder, Personal Map Shape and Dashboards allowed us to visually organize our data both in terms of welding defects (welding flaws map, weldability lobe) and strength (Erichsen-type cupping tests).

 

The ANOVA and Distribution platforms were used to make informed decisions about the equivalence of the plates to be processed and their level of strength.

 

Once the weldability zone was determined (zone where the weld beads are free of defects), the strength of the weld bead was studied using the design of experiments methodology. In this paper, only 2 parameters were considered (laser power, welding speed).

The Custom Design platform allowed for a high degree of customization of the tests in relation to the encountered constraints. The highly irregular shape of the study area gave the opportunity to use the candidate point method (covariates), in addition to other features such as split-plot design and uncontrolled factors.

 

The modeling of the weld strength via the Fit Model platform allowed not only to understand the involved physical phenomena but also to proceed to a multi-criteria optimization via the Contour Profiler. Finally, the objective was achieved since all the steps allowed to propose and validate a set point with a maximum productivity and a good weld, both defect-free and resistant.

 

This step is part of an extensive, very high-value data acquisition program that will allow, just as it did in 2019 with the laser cutting process, the development of a laser welding model that will provide robust welding instructions, regardless of the incoming product, the final step to fully automate the machine.

 

6. About Clecim SAS

Clecim SAS, based in Montbrison (Loire), joined the Mutares group on April 1, 2021. It is an engineering and production company, bringing its expertise in services and manufacturing in particular for the metallurgical industry. Its main activity is the operational support of the performance of its flat steel producer customers, in particular for the automotive market. This support takes the form of studies and advice on the improvement of their production tools, the supply of special machines to optimize performance and, if necessary, the supply of complete production lines based on the latest technologies.

 

For decades, Clecim SAS has been promoting innovation in the steel industry and is constantly looking for new solutions to provide metal producers with state-of-the-art equipment, allowing them to gain a competitive advantage. Our latest areas of focus include new technologically differentiated solutions, advanced process analysis and optimization. Of particular note in this area are world-renowned high-level solutions such as special laser welding machines, surface inspection systems, rolling equipment, and galvanizing lines for flat steel for the automotive market.

 

With its own factory, Clecim SAS is able to manufacture and test complete machines. The company has many skills (engineering, manufacturing, testing) allowing it to master the entire value chain. Clecim SAS can also provide its customers with a pilot rolling mill for the development and confirmation of flattening, rolling and tribology models.

Figure 11 – Clecim SAS (Montbrison city, France)Figure 11 – Clecim SAS (Montbrison city, France)

About the author

Stéphane Georges.pngGraduated from Grenoble INP in Materials Science and Process Engineering, Stéphane GEORGES (47y) joined Clecim SAS in 2001. After holding several positions in the Automation, Modeling and Process Control department, and after 3 years of expatriation in Erlangen at Siemens in Germany, Stéphane moved to the position of R&D Project Manager. His various missions related to industrial processes lead him to use his skills in smart experimentation, statistical analysis and modeling, coding, machine learning and deep learning to make the most of data.

 

Acknowledgment

We would like to express our thanks and gratitude to Florence Kussener of JMP for her support in using the software and preparing us for our first ever participation in the Discovery Summit.

 

References

[1] André Augé, JMP Addict: Tips and Tricks Workshop: Customize Your Reports and Chart Builder Tips, Webinar, 2021, shorturl.at/jqAZ2
[2] Lekivetz Ryan, What is a covariate in design of experiments, article, JMP Community, 2021, shorturl.at/hqvH4

[3] Lekivetz Ryan, Developer Tutorial - Handling Covariates Effectively when Designing Experiments, webinar, JMP Community, 2021, shorturl.at/fvEZ0
[4] Peter Goos, Bradley Jones, Optimal Design of Experiments: A Case Study Approach, Wiley, 2011

 

CLECIM® is an internationally registered trademark owned by company Clecim SAS.

Clecim SAS all rights reserved 2022-feb-02

Comments
Sal

Well done, Stéphane! Very nice presentation!

Article Tags