Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm

被引:59
作者
Zhou, Jing [1 ]
Wang, Baoyu [1 ]
Lin, Jianguo [2 ]
Fu, Lei [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing 100083, Peoples R China
[2] Univ London Imperial Coll Sci Technol & Med, Dept Mech Engn, London SW7 2AZ, England
关键词
Aluminum alloy hot stamping; Process parameters; Response surface model; Multi-objective genetic algorithm; FORMING LIMIT; SHEET;
D O I
10.1016/j.acme.2013.01.008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The process parameters of aluminum alloy hot stamping are essential for product forming quality. In the case of an anti-collision side beam inside car doors, the finite-element model of aluminum alloy hot stamping is set up, and the forming quality is investigated under an ordinary process condition. The blank hold force (BHF) has a significant impact on the forming quality in hot stamping. Using the Latin hypercube method to sample the simulation data points and the finite-element (FE) model to calculate the forming quality indices of the data points according to the response value of the indices, the quadratic response surfaces between the process parameter inputs and the forming quality indices are initialized. Using the multi-objective genetic algorithm NSGA-II (non-dominated sorting genetic algorithm) to optimize the responses of the process parameters, the Pareto solutions corresponding to combinations of the blank hold force and stamping speed are obtained. Finally, based on the optimal process parameters, stamping tests are carried out. Compared with the results of the stamping trial and numerical simulation, it is demonstrated that the finite-element model can predict forming defects and be consistent with the actual condition and that the optimization procedure proposed in the paper is feasible. (C) 2013 Politechnika Wroclawska. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.
引用
收藏
页码:401 / 411
页数:11
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