Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

Robotics and Computer-Integrated Manufacturing, vol. 82, pp. 102545

Authors 6

1. Ziqi Huang corresponding Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany

2. Marcel Fey Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany

3. Chao Liu

   Aston University

   Affiliation as printed

   College of Engineering and Physical Sciences, Aston University, Birmingham, UK

4. Ege Beysel Aachen Department of Computer Science and Mathematics

   RWTH Aachen University

   Affiliation as printed

   Department of Computer Science and Mathematics, RWTH Aachen University, Aachen, Germany

5. Xun William Xu

   University of Auckland

   Affiliation as printed

   Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand

6. Christian Brecher Aachen Fraunhofer Institute for Production Technology Laboratory for Machine Tools and Production Engineering (WZL)

   Fraunhofer Institute for Production Technology IPT · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Institute for Production Technology (IPT), Aachen, Germany

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany