Slides to accompany my UK User Group 2019 Presentation. The slides with a blue border are ones in place of where a demo was given of that functionality in JMP. These slides show the basic scripts required to reproduce the demonstrated functionality.
Many solid materials slowly oxidise with time which generates heat. If the material is in a bulk form (such as during storage or transport) then heat generation can exceed heat loss, leading to ignition. Climate control and limiting packing amounts can reduce the risk but this increases the costs for the consumer through reduced logistical options, higher shipping volumes and disposal of the additional packaging.
Laboratory tests are well established to determine a safe packing size. However, they are costly especially for new products where limited amounts of material are available. The physics of the oxidation process are well described and can be simulated provided all the material properties are known.
We show how these two approaches can be combined to reduce the amount of thermal stability testing required. By obtaining estimates of different material properties with each test, the prediction uncertainty can be updated to suggest the range of suitable packaging given the available data.
JMP® was used to generate a constrained spacing-filling experimental design, control the simulation software (COMSOL Multiphysics®), build meta-models and simulate the outcome for new materials. This has resulted in a data driven approach to the selection of laboratory tests.