Digital twin enabled transfer learning for thermal error compensation of machine tools

Research unit

INNOSUISSE

Project number

27835.1 IP-ENG

Project title

Digital twin enabled transfer learning for thermal error compensation of machine tools

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	Engineering, Advanced manufacturing
Abstract (English)	Thermal error compensation of machine tools requires the generation of robust and accurate compensation models which in turn require representative training data of high quality. Using FEM simulations virtual measurements can be generated to train robust compensation models using transfer learning.