Transactions of Materials and Heat Treatment

Title：Multi-objective optimization on hot stamping process for vehicle B-pillar reinforced plate based on genetic algorithm

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ClassificationCode：TG386

year,vol(issue):pagenumber：2021,46(5):46-52

Abstract：

In order to improve the thickness uniformity of hot stamping part for B-pillar reinforced plate, a multi-objective optimization method of process parameters based on the non-dominated sorting genetic algorithm was proposed, and the hot stamping process of B-pillar reinforced plate was analyzed. Then, taking plate heating temperature, stamping speed, friction factor and die clearance as optimization parameters and the reduction of the maximum thinning rate and the maximum thickening rate as the optimization goals, the multi-objective optimization model was built. In the optimized space, the experiment points were designed by the optimal Latin hypercube sampling method, and the experimental values were obtained by finite element software Autoform. Furthermore, the relationship between process parameters and quality parameters was fitted by BP neutral network, the fitting accuracy was verified based on the predicted root mean square error, and Pareto front solutions of multiple optimization objectives were searched by the non-dominated sorting genetic algorithm. After production verification, compared with the thoriginal process used by manufacturer, the maximum thinning rate and the maximum thickening rate of the optimized hot stamping part are decreased by 22.25% and 7.34% respectively, indicating that the quality of stamping part is improved after optimization, and after optimization, the standard deviations of the maximum thinning rate and the maximum thickening rate are both reduced, indicating that the production stability of the optimized process is better.

Funds：

山东省职业教育教学改革研究项目（2017647）

王泌宝（1969-），男，硕士，副教授 E-mail：niu666222@126.com

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