Design parameter optimization of Bipolar Plate

1. (Provisional title) Rapid and Efficient Inverse Modeling of Springback in Metal Bipolar Plate Stamping Using Artificial Neural Network

Published in: (Paper Under Review)

Publication Date: (Paper Under Review)

Paper Link : (Paper Under Review)

Collaborative research with Fraunhofer Institute for Production Technology (IPT), in Aachen, Germany

💡 Simple Summary

A Fast and Efficient Inverse modeling framework (Adaptive Sampling, Surrogate Model, and Inverse model) is proposed to calculate input parameter for the desired Bipolar plate geometry.