Digital twin enabled transfer learning for thermal error compensation of machine tools
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.
Last updated:23.12.2022
