Transactions of Materials and Heat Treatment

Title：Bee colony algorithm optimization on stamping process parameters for vehicle seat side panel

Authors： Cheng Baoxin1 Cao Yuping2

Unit： 1. Department of Mechanical Engineering Tianjin Petroleum Vocational and Technical College 2. College of Information and Control Engineering China University of Petroleum (East China)

KeyWords： seat side panel crossover-mutation bee colony algorithm depth of local searching BP neutral network springback amount

ClassificationCode：TG386. 3

year,vol(issue):pagenumber：2021,46(12):79-85

Abstract：

In order to reduce springback amount of vehicle seat side panel after stamping, the optimization method of stamping process parameters based on crossover-mutation bee colony algorithm was proposed. Then, the influences of the stamping process parameters on the springback amount of vehicle seat side panel were analyzed, and a stamping optimization model was established by setting the goal of minimizing springback amount. Based on the optimal Latin hypercube sampling method, 120 points were extracted in 4-dimensional space, and the experimental results were simulated by software AutoForm. Furthermore, the non-linear relationship between process parameters and springback amount was fit by single hidden layer neutral network, which was clarified that the fitting accuracy of neutral network was very high. In order to deepen the local searching depth of artificial bee colony algorithm, the idea of crossover and mutation was introduced into the algorithm, and a parameter optimization method based on crossover-mutation bee colony algorithm was given. Experimental verification shows that the thinning rate and thickening rate of the stamping piece for seat side panel meet the constraint conditions, and the springback amount is only 1.725 mm, indicating that the proposed optimization method can effectively reduce the springback amount of seat side panel after stamping.

Funds：

2018年度天津市高等职业技术教育研究会课题（XVⅢ4006）

程宝鑫（1983-），男，学士，副教授 E-mail：sindey19831025@163.com

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