Transactions of Materials and Heat Treatment

Title：Springback control and optimization on full process forming of front longitudinal beam of differential thickness laser tailor welded blanks

Authors： Jin Ming Yang Ping

Unit： Chongqing Industry Polytechnic College Chongqing Technology and Business Institute

KeyWords： springback control stamping laser tailor welded blanks Kriging prediction model multi-objective genetic algorithm

ClassificationCode：TG386

year,vol(issue):pagenumber：2022,47(10):103-111

Abstract：

Aiming at the problems of complex deformation, easy to appear springback, cracking and other defects in the stamping process of laser tailor welded blanks, for the front longitudinal beam of an automobile laser tailor welded blanks, an optimization strategy based on Kriging prediction model and NSGA-II multi-objective genetic algorithm was proposed, and the front longitudinal beam was optimized and verified. The results show that Kriging model can accurately predict the nonlinear relationship between optimization variables and optimization indexes, and its trend prediction is accurate. In addition, the Pareto optimal frontier solution set is obtained by NSGAII multi-objective genetic algorithm, and the solution with the minimum springback amount and without fracture is selected from the solution set. Numerical simulation and experiments show that the springback amount of the optimal solution is reduced by 50% compared with that before optimization, and the surface is smooth without fracture. The optimization results show that the optimization strategy can significantly reduce the springback amount and ensure that the stamping parts have no defects such as fracture and wrinkling.

Funds：

重庆市教委科学技术研究项目（KJQN202103209）;2019重庆市教委科学技术研究项目（KJQN201904001）

金明（1981-）, 男, 学士, 副教授,E-mail：jinming@cqipc.edu.cn

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