Material parameter identification for clinching process simulation using neural network metamodels

• Autorzy: Nguyen, Duc Vinh , Lin, Pai-Chen , Nguyen, Minh Chien , Wu, Yang-Jiu , Tran, Hoang Son , Tran, Xuan Van
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

neural network metamodel; material parameters; finite element analysis; optimization; clinching

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 33
• Strony: 183--188
• Opis fizyczny: Bibliogr. 5 poz., rys., tab., wykr.

Twórcy

autor

Nguyen, Duc Vinh

• Institute of Southeast Vietnamese Studies Thu Dau Mot University Thu Dau Mot City, Vietnam,

autor

Lin, Pai-Chen

• Department of Mechanical Engineering National Chung-Cheng University Chiayi 62102, Taiwan,

autor

Nguyen, Minh Chien

• Institute of Southeast Vietnamese Studies Thu Dau Mot University Thu Dau Mot City, Vietnam,

autor

Wu, Yang-Jiu

• National Chung-Cheng University Chiayi 62102, Taiwan

autor

Tran, Hoang Son

• Research Unit, MSM division University of Liège Liège, Belgium,

autor

Tran, Xuan Van

• Institute of Southeast Vietnamese Studies Thu Dau Mot University Thu Dau Mot City, Vietnam,

Bibliografia

• [1] S. Gao, B. Lothar, “Mechanism of mechanical press”, Int J Mach Tools Manufact 34, 1994, pp 641–657.
• [2] N. Nong, O. Keju, Y. Zu, Q. Zhiyuan, T. Changcheng, L. Feipeng, “Research on press joining technology for automotive metallic sheets”, J Mater Proc Techn, vol. 137, 2003, pp. 159-163.
• [3] F. Lambiase, A. Di Ilio, “Optimization of the clinching tools by means of integrated FE modeling and artificial intelligence techniques”, Procedia CIRP, vol. 12, 2013, pp. 163-168.
• [4] E. Roux, P.O. Bouchard, “Kriging metamodel global optimization of clinching joining processes accounting for ductile damage”, Journal of Materials Processing Technology, vol. 213, 2013, pp. 1038-1047.
• [5] M. Eshtayeh, M. Hrairi, “Multi objective optimization of clinching joints quality using Grey-based Taguchi method”, Int J Adv Manuf Technol, vol. 87, 2016, pp. 233–249.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

Identyfikatory

DOI

10.15439/2022R31