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Material parameter identification for clinching process simulation using neural network metamodels

Nguyen Duc Vinh, Lin Pai-Chen, Nguyen Minh Chien, Wu Yang-Jiu, Tran Hoang Son, Tran Xuan Van

Annals of Computer Science and Information Systems

2022

Vol. 33

183--188

Clinching is a mechanical joining method in which two sheet workpieces are clamped and locked together using a punch and a die. Process parameters for such joint elements are often designed based on numeric simulation. Before this step, the identification of good material parameters is crucial to get validated computational results. In this paper, neural network metamodels are used for this specific task as a means to deal with large computation time. The identified material parameters reduce significantly the error between computational results and experimental results.