Deep learning-based rapid and precise die design to compensate springback in metallic bipolar plate stamping for proton exchange membrane fuel cells

Measurement, vol. 290, pp. 122923

Authors 6

1. Hyeongmin Kim

   Seoul National University

   Affiliation as printed

   Department of Mechanical Engineering, Seoul National University, Seoul 08826, the Republic of Korea

   Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, the Republic of Korea

2. Sang-Wook Lee Aachen Fraunhofer Institute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Institute for Production Technology IPT, Aachen 52074, Germany

3. Donghyu Lee

   Seoul National University

   Affiliation as printed

   Department of Mechanical Engineering, Seoul National University, Seoul 08826, the Republic of Korea

4. Florian Hüsing Aachen Fraunhofer Institute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Institute for Production Technology IPT, Aachen 52074, Germany

5. C. Brecher Aachen Fraunhofer Institute for Production Technology IPT 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 52074, Germany

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen 52074, Germany

6. Byeng Dong Youn corresponding

   Seoul National University

   Affiliation as printed

   Department of Mechanical Engineering, Seoul National University, Seoul 08826, the Republic of Korea

   Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, the Republic of Korea

   OnePredict Inc., Seoul 06160, the Republic of Korea