In addition, a research project on "Sustainable Coatings Industry through Digital Technologies for Climate and Environmental Protection" was presented.
Our talk highlighted how artificial intelligence opens new pathways in coatings development. With raw material variability, stricter environmental regulations, and the urgent need for sustainable processes, innovative approaches are essential.
AI-based methodology for adaptive experimental planning
- Unlike classical, predefined experimental design, the approach steers experiments dynamically from the data.
- Parameters from raw materials, application, and processes go into probabilistic AI models (STOCHOS).
- The AI proposes targeted experiment combinations, cuts the number of trials, and avoids inefficient or incompatible setups.
What that buys
- Significantly lower resource consumption and time investment.
- An easier transition to sustainable raw materials.
- Prototype validation on high-throughput and industrial-scale equipment.
We also presented our software solution for AI-driven experimental planning.
A special thank you to our project partners: AOM-Systems GmbH, Mankiewicz Gebr. & Co., Füll Lab Automation GmbH, HS Niederrhein, and Fraunhofer IFAM.
