Transactions of Materials and Heat Treatment

Title：Multi-objective optimization of dynamic NSGA-II on drawing process for taillight mounting reinforcement

Authors： Song Xiaowen1 Yang Xiaozhen1 Yang Yuhao1 Xing Haijun2

Unit： 1. School of Intelligent Manufacturing and Information Engineering Ya′an Polytechnic College 2. School of Mechanical Engineering Shijiazhuang Tiedao University

KeyWords： taillight mounting reinforcement drawing forming dynamic congestion multi-object optimization dynamic NSGA-II algorithm

ClassificationCode：

year,vol(issue):pagenumber：2022,47(3):72-78

Abstract：

To improve the drawing quality of vehicle taillight mounting reinforcement, based on dynamic NSGA-II algorithm, a multi-objective optimization method was proposed. Then, aiming at reducing the maximum thinning rate and wrinkling trend function, a multi-objective optimization model was established, and taking four drawbead resistance coefficients and blank holder force as the optimization parameters, the performance parameters of drawn parts under different conditions were obtained based on the finite element method. Furthermore, the dynamic congestion calculation method was introduced into NSGA-II algorithm to maintain the diversity of selected chromosomes and improve the optimization ability of dynamic NSGA-II algorithm, and using the dynamic NSGA-II algorithm to solve the multi-objective optimization model, its Pareto frontier solution was superior to that of traditional NSGA-II algorithm. According to the optimized parameters, ten trial pieces were produced, the mean values of the maximum thinning rate and the maximum thickening rate for trial pieces were less than the mean values of products for manufacturer, and the standard deviations of the maximum thinning rate and the maximum thickening rate of the trial pieces were small. The experimental results show that the production quality and stability are improved after the parameters optimization.

Funds：

河北省科技计划项目(14212202D)

宋晓雯（1987-），女，学士，讲师 E-mail：n5j8jl@163.com

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