摘要
基于Gray-Taguchi稳健性优化设计方法,采用动力显式碰撞仿真与网格映射技术,对汽车中立柱的强度分布进行了考虑冲压塑性变形效应的多目标优化设计。首先建立考虑冲压效应的中立柱碰撞模型,分析了冲压效应对中立柱碰撞性能的影响;接着基于正交试验,选择最大侵入位移、最大侵入速度和吸能量3个指标为优化目标,采用Gray-Taguchi优化设计方法得到优化结果,并对最终的优化结果进行了整车侧碰仿真验证。经过优化,中立柱中部节点的最大侵入位移下降了5.6%,最大侵入速度下降了3.9%,吸能量提升了18.8%,即综合碰撞性能得到较大的提升。
Based on the Gray-Taguchi robust optimization design method,the dynamic explicit collision simulation and the mesh mapping technology were applied to carry out the multi-objective optimization design of the strength distribution of the automobile central pillar considering the stamping plastic deformation effect.Firstly,a central pillar collision model considering stamping effect was established and the influence of stamping effect on the collision performance of central pillar was analyzed.Then,based on the orthogonal test,the three indexes,namely the maximum intrusion displacement,the maximum intrusion speed and the energy absorption amount were selected as the optimization targets.The Gray-Taguchi optimization design method was adopted to obtain the optimization results,and the final optimization results were verified by vehicle side impact simulation.By optimization,the maximum intrusion displacement of the middle node of the central pillar decreases by 5.6%,the maximum intrusion speed decreases by 3.9%,and the energy absorption amount increases by18.8%,which means the comprehensive collision performance is greatly improved.
作者
刘润泽
宋燕利
刘鹏
冯维
LIU Run-ze;SONG Yan-li;LIU Peng;FENG Wei(Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan University of Technology,Wuhan 430070,China;Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China;Hubei Research Center for New Energy&Intelligent Connected Vehicle,Wuhan University of Technology,Wuhan 430070,China;Dongfeng(Wuhan)Industry Co.,Ltd.,Wuhan 430040,China)
出处
《塑性工程学报》
CAS
CSCD
北大核心
2021年第1期29-37,共9页
Journal of Plasticity Engineering
基金
国家自然科学基金资助项目(51675392)
新能源汽车科学与关键技术学科创新引智基地项目(B17034)
教育部创新团队发展计划(IRT_17R83)
湖北省技术创新专项(2019AAA014)。