锻压技术

基于响应面的汽车中立柱内板影响因素多目标优化

英文标题：Multi-objective optimization on influencing factors for central pillar inner plate of automobile based on response surface

作者：王钊魏鑫黄瑶王雷刚

单位：江苏大学

关键词：中立柱内板拉延最优拉丁超立方实验设计响应面多目标优化

分类号：TG386.3

出版年,卷(期):页码：2020,45(7):46-50

摘要：

以某汽车中立柱内板为研究对象，选取摩擦系数、冲压速度、压边力和凸凹模间隙为设计变量，采用最优拉丁超立方实验设计选取了30组实验方案，使用Autoform R6软件对拉延后的最大增厚率和最大减薄率进行有限元模拟。利用模拟结果建立最大增厚率和最大减薄率两个目标值的4阶响应面近似模型，并分析了影响因素对目标值的影响。多目标优化后得到的摩擦系数为0.17、冲压速度为3500 mm·s-1、压边力为450 kN、凸凹模间隙为0.55 mm，此时的最大增厚率为0.95%、最大减薄率为10.65%。使用优化后的工艺参数进行模拟，得到的最大增厚率和最大减薄率的模拟值分别为0.96%和12.20%，证明了多目标优化结果的有效性。根据优化后的工艺参数组合进行零件试生产，可以生产出无起皱开裂且满足要求的汽车中立柱内板拉延件，提高了零件从设计至生产的效率。

For the inner plate of a automobile′s central pillar, taking the friction coefficient,

stamping speed, blank holder force and clearance between punch and die as the design variables, thirty experimental schemes were selected by the optimal Latin hypercube test design, and the maximum thickening rate and the maximum thinning rate after drawing were simulated by software Autoform R6. Then, the fourth-order response surface approximate model of two target values for the maximum thickening rate and the maximum thinning rate was established by the simulation results, and the influences of influencing factors on the target values were analyzed. After multi-objective optimization, the friction coefficient was 0.17, the stamping speed was 3500 mm·s-1, the blank holder force was 450 kN, the clearance between punch and die was 0.55 mm,under these process parametens, the maximum thickening rate was 0.95% and the maximum thinning rate was 10.65%. However, the simulated values of the maximum thickening rate and the maximum thinning rate obtained by the simulation with the optimized process parameters were 0.96% and 12.20% respectively to prove the effectiveness of multi-objective optimization results. According to the combination of optimized process parameters, the trial production of parts was conducted, the drawing parts of inner plate for automobile′s central pillar were produced without wrinkle and cracking to meet the requirements, which improved the efficiency of parts from design to production.

基金项目：

国家自然科学基金资助项目（51775249）

王钊（1994-），男，硕士研究生 E-mail：1138673857@qq.com 通讯作者：王雷刚（1963-），男，博士，教授，博士生导师 E-mail：lgwang@ujs.edu.cn

参考文献：

[1]李贵, 龙小裕,杨朋,等.板料冲压成形摩擦研究现状及发展趋势[J].锻压技术,2018,43(4):1-8.

Li G, Long X Y, Yang P, et al. Research status and development trend of friction in stamping of sheet metal [J].Forging & Stamping Technology,2018,43(4):1-8.

[2]朱超, 王雷刚,黄瑶.基于CAE和灰色关联的汽车前门外板冲压成形工艺参数多目标优化[J].锻压技术,2018,43(8):39-43，70.

Zhu C, Wang L G, Huang Y. Multiobjective optimization on stamping process parameters for automotive front door outer panel based on car and gray relational analysis [J].Forging & Stamping Technology, 2018,43(8):39-43, 70.

[3]聂威. 汽车中立柱拉延工艺稳健设计与容差设计[D].长沙：湖南大学,2014.

Nie W. Robust Ddesign and Tolerance Design of Metal Forming Process for an Auto Bpillar [D]. Changsha: Hunan University,2014.

[4]张勇, 范轶,薛洋.基于Dynaform和正交试验的轿车加强梁冲压工艺参数优化[J].锻压技术,2019,44(2):37-42.

Zhang Y, Fan Y, Xue Y. Optimization on stamping process parameters of car reinforced beam based on Dynaform and orthogonal test[J]. Forging & Stamping Technology, 2019, 44(2):37-42.

[5]Liao X, Yan X, Xia W, et al. A fast optimal latin hypercube design for Gaussian process regression modeling[A]. Third International Workshop Advanced Computational Intelligence(IWACI)[C]. IEEE: 2010.

[6]季宁, 张卫星,于洋洋,等.基于最优拉丁超立方抽样方法和NSGA-Ⅱ算法的注射成型多目标优化[J].工程塑料应用,2020,48(3):72-77.

Ji N, Zhang W X, Yu Y Y, et al. Multiobjective optimization of injection molding based on optimal Latin hypercube sampling method and NSGA-II Algorithm[J]. Engineering Plastics Application, 2020,48(3):72-77.

[7]徐增密, 刘立忠,申国哲,等.基于响应面和kriging代理模型的汽车B柱优化设计[J].汽车技术,2012,(4):39-43.

Xu Z M, Liu L Z, Shen G Z, et al. Optimization design of Bpillar based on response surface and kriging surrogate model [J]. Automobile Technology, 2012, (4):39-43.

[8]郭衡, 肖小亭,陈名涛,等.基于响应曲面法的并列双支管内高压成形加载路径的优化[J].锻压技术, 2019,44(2):87-92.

Guo H, Xiao X T, Chen M T, et al. Optimization on loading path of internal high pressure forming for parallel doublebranch based on response surface method [J]. Forming & Stamping Technology, 2019, 44(2):87-92.

[9]林浩波, 刘军辉,吴立国.基于遗传算法的防撞钢梁热冲压成形工艺优化[J].塑性工程学报, 2019,26(5):65-69.

Lin H B, Liu J H, Wu L G. Optimization of hot stamping process for anticollision beam based on genetic algorithms[J]. Journal of Plasticity Engineering, 2019,26(5):65-69.

[10]雷继梅, 倪君杰,黄瑶,等.高光三色汽车尾灯灯罩注塑工艺参数优化[J].现代塑料加工应用,2020,32(1):46-49.

Lei J M, Ni J J, Huang Y,et al. Optimization of injection molding process parameters for highlight tri color automobile taillight shade modern[J]. Plastics Processing and Applications, 2020,32(1):46-49.

[11]王钊, 魏翔宇,倪君杰,等.双色尾灯灯罩注射成型影响因素多目标优化[J].现代塑料加工应用,2020,32(1):50-53.

Wang Z, Wei X Y, Ni J J, et al. Multiobjective optimization of influencing factors for automobile twocolor taillight lampshade injection molding[J]. Plastics Processing and Applications, 2020,32(1):50-53.

[12]肖瑞, 杨明,黄朝文.基于响应面法对211ZX新型高强铝合金固溶工艺的优化设计[J].稀有金属,2019,43(10):1040-1046.

Xiao R, Yang M, Huang C W. Optimal design of 211ZX high strength aluminum alloy solid solution process based on response surface method[J]. Chinese Journal of Rare Metals, 2019,43(10):1040-1046.

服务与反馈：

【文章下载】【加入收藏】