13:40 – 14:00
20.04.2021

The lecture will explain how methods of data analysis and machine or deep learning contribute to future Polymer AM processes. In practice, process data is recorded from Polymer AM production systems. The audience will receive an overview on how methods of data analysis and machine learning can contribute to the optimization of Polymer AM processes. After a theoretical part, the processing is practised on practical examples from the research scene of the Chair of Production Engineering.