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基于响应面与遗传算法的汽车油箱托盘仿真优化 被引量:7

Simulation and optimization of automobile fuel tank tray based on response surface and genetic algorithm
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摘要 在汽车油箱托盘拉深成形过程中,以压边力x;、冲压速度x;、摩擦系数x;和模具间隙x;作为汽车油箱托盘拉深成形质量的影响因素,以板料的最大减薄率y;和最大增厚率y;作为仿真优化目标,通过设计响应面试验,基于DYNAFORM软件进行仿真模拟,获得样本数据,得到最大减薄率y;和最大增厚率y;的多项式回归响应模型,结合带精英策略的非支配排序遗传算法NSGA-Ⅱ对多目标优化函数进行优化求解。工艺参数优化结果为:压边力73 kN,冲压速度1 m·s^(-1),摩擦系数0.15,模具间隙1.575 mm,采用优化的工艺参数进行仿真试验,结果表明,成形件质量得到改善。 In the deep drawing process of automobile fuel tank tray, the blank holder force x;, stamping speed x;, friction coefficient x;and die gap x;were taken as the influencing factors of forming quality of automibile fuel tank tray in deep drawing process, and the maximum thinning rate y;and the maximum thickening rate y;were taken as the simulation optimization objectives. By designing the response surface test, simulation was carried out based on DYNAFORM software to obtain the sample data. And the polynomial regression response models of the maximum thinning rate y;and the maximum thickening rate y;were obtained. Combined with the non-dominated sorting genetic algorithm with elitist strategy NSGA-Ⅱ, the multi-objective optimization function was optimized. The optimization results of process parameters are as follows: blank holder force of 73 kN,stamping speed of 1 mm·s^(-1),friction coefficient of 0.15,die gap of 1.575 mm. The simulation test was carried out by optimized process parameters. The results show that the quality of the formed part is improved obviously.
作者 嵇友迪 龚红英 贾星鹏 申晨彤 周志伟 徐培全 廖泽寰 JI You-di;GONG Hong-ying;JIA Xing-peng;SHEN Chen-tong;ZHOU Zhi-wei;XU Pei-quan;LIAO Ze-huan(School of Materials Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Dongfu Cold-forging Manufacturing Co.,Ltd.,Shanghai 201100,China)
出处 《塑性工程学报》 CAS CSCD 北大核心 2021年第12期29-35,共7页 Journal of Plasticity Engineering
基金 上海市自然科学基金资助项目(20ZR1422700)。
关键词 汽车油箱托盘 响应面法 NSGA-Ⅱ 多目标 数值模拟 automobile fuel tank tray response surface method NSGA-Ⅱ multi-objective numerical simulation
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