AI in Manufacturing: Driving Efficiency and Innovation
Session Overview
Adaptability and resilience while maintaining quality and efficiency of production processes become more and more important in the manufacturing industry. Consequently, for minimizing ramp-up times and defect rates, it is essential to find optimal process parameters and automatically control the production processes within the suitable parameter ranges. AI technology are powerful tools for supporting engineers, operators and maintainers of machinery for reaching these goals.
In this talk, we present some concrete AI-driven innovations in this field from the perspective of Fraunhofer-Gesellschaft, one of the world’s leading organization in applied research. We present examples from metal cutting, sheet metal forming and machine tool industry, where Deep Learning and Generative AI is used for increasing productivity and quality of manufacturing processes.
Speaker
Dr. Andreas Otto is Group Leader in the Department of Machine Tool Technology of Fraunhofer Institute for Machine Tools and Forming Technology IWU in Germany. After studying Computational Science, he received his Ph.D. in Theoretical Physics from Chemnitz University of Technology. In 2019 he moved to Fraunhofer for leading projects in the application of Digital Twins, Industrial Internet of Things and AI technology with European manufacturing industry. He has also authored several peer-reviewed journal publications including papers about various machine learning, deep learning and transfer learning approaches in production technology.