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Title:Multi-objective optimization on stamping process for automobile hood panel based on response surface model and genetic algorithm
Authors: Hu Ya′nan Wang Leigang Huang Yao Huang Zhonghui 
Unit: Jiangsu University 
KeyWords: automobile hood panel  stamping  response surface model  NSGA-II  multi-objective optimization 
ClassificationCode:TG386.1
year,vol(issue):pagenumber:2017,42(5):171-175
Abstract:
For automobile hood panel, taking the blank holder force, the punch velocity, the coefficient of friction between die and blank, as well as the coefficient of friction between punch and blank as processing parameter variables,and the maximum thinning rate in the drawing process and the maximum springback in the trimming process as the optimization objectives, the sample data were obtained by the central composite design (CCD) method and the finite element simulation. Then, the quadratic response model was established by the test data, and the multi-objective optimization of processing parameters was achieved combining with the non-dominated sorting genetic algorithm (NSGA-II). Therefore, an optimized combination of process parameters was obtained with the blank holder force of 1145 kN, the punch velocity 3480 mm·s-1, the coefficient of friction between die and blank of 0.106, and the coefficient of friction between punch and blank of 0.13. Based on the optimized processing parameters, the springback compensation was guided, and the die tryout was conducted. The result shows that the stamping of automobile hood panel stamping is of good forming quality.
Funds:
国家自然科学基金资助项目(51275216)
AuthorIntro:
胡亚男(1991-),男,硕士研究生 王雷刚(1963-),男,博士,教授,博士生导师
Reference:


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