We are intensively involved with DED. Our research aims to establish it economically in industry to enable its numerous advantages, such as the production of Multi-materials or Functionally Graded Materials (FGM). Furthermore, we apply Data Science to optimize this complex manufacturing process.

We also have extensive data-based optimization expertise in the fields of Wire Arc Additive Manufacturing (WAAM), machining, forming technology and joining technology. We pursue the approach of using existing sensor data or collecting them in a simple and robust way, before analysis by Machine Learning (ML), preferably.