From DOE to Predictive Modeling: Utilizing JMP to Customize Powder Coating Properties (2026-EU-PO-2759)

The gel time and cure time are important properties of powder coatings. The rate of the curing reaction inherently affects both of these characteristics. Consequently, it is often challenging to modify one of these properties without compromising the other.

The curing rate can be controlled by varying the amount of catalyst used. We found that using two specific catalysts, A and B, produces interesting effects. To gain deeper insights, we decided to apply the design of experiments (DOE) methodology using JMP software.

Conducting nine runs provided sufficient data to investigate the mechanism of the new catalytic system. JMP's Prediction profiler helped to clearly visualize the effects of Catalysts A and B on the gel and cure times. It also enabled the design of new coatings with specific gel and cure time combinations.

In my poster presentation, I contrast DOE methodology with the one-factor-at-a-time (OFAT) approach. I highlight the data that would be inaccessible without using the Prediction profiler. Finally, I demonstrate the successful application of the prediction model.