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Title:Optimization on drawing process parameters for automobile front panel based on response surface and genetic algorithm
Authors: Chen Qingshan1 Pan Shuhua2 Huang Yao1 Wang Leigang1 
Unit: 1.School of Materials Science and Engineering Jiangsu University 2.Yangzhou Hongyun Vehicle Industry Co. Ltd. 
KeyWords: automobile front panel  stamping process  sensitivity analysis  second-order polynomial response surface  multi-objective optimization  genetic algorithm 
ClassificationCode:TG386.3
year,vol(issue):pagenumber:2023,48(8):72-77
Abstract:

 For the front panel of a pickup truck, the overall quality control of parts with complex shapes after forming was studied to avoid local cracking and wrinkling, and based on second-order polynomial response surface combined with genetic algorithm, the optimal design was conducted. Firstly, taking the maximum thinning rate and the forming safety zone ratio as the optimization objectives, the key process parameter combination that had a greater impact on the material drawing stage was selected by the sensitivity analysis method. Secondly, the less sample points with reasonable distribution in the sample space were acquired by Box-Behnken experiment design, and the drawing+trimming process was simulated by software AutoForm to obtain the forming quality results of each sampling point. Furthermore, the response surface model of design variables and optimization objectives was fitted by the second-order polynomial, and its accuracy was tested. Finally, the combination of process parameters was optimized by the genetic algorithm to guide the trial production. The final measurement results show that the minimum thickness of the part is 0.64 mm, and the overall drawing is sufficient without wrinkling and cracking.

Funds:
国家自然科学基金资助项目(51775249)
AuthorIntro:
作者简介:陈青山(1998-),男,硕士研究生,E-mail:chen-qs@foxmail.com;通信作者:黄瑶(1964-),女,硕士,副教授,硕士生导师,E-mail:592177388@qq.com
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