Hans-Joachim GrafHans-Joachim Graf brings more than 40 years experience in the rubber processing industry, both as a material and as a process developer. After completing his doctorate (Macromolecular Institute University of Freiburg), he gained his experience primarily in the production of technical articles, in the chemical and in the machinery industry. He has published over 60 technical articles and has participated in more than 15 patents. He has held seminars and lectures at various University Institutes. He was honored with the "Erich Konrad" Medal of the German DKG in 2012. Since 2009 he is working at a consultant.
Navigating the complexities of rubber development: Bridging AI and DoE
This presentation explores the fusion of Design of Experiments (DoE) with Artificial Intelligence (AI) and Machine Learning (ML). AI utilizes historical data like words or facial pixels, relying on neural network algorithms. However, AI demands extensive data, an issue in rubber development where data is abundant but lacks standardization. These datasets exhibit unique measurement errors, making them distinct from the norm. Storing such complex data in the cloud is complicated, with compatibility issues between polymers, crosslinking systems, and insoluble ingredients posing challenges. Integrating this heterogeneous data is a formidable task, as conventional cloud storage falls short.