摘要
针对某汽车后排座椅在GB15083-2006法规中行李箱冲击动态试验表现不佳,合格裕度过低的问题,对其座椅骨架进行优化。通过分析冲击过程中冲击力的传递路径,运用HyperMesh建立有限元模型并经Ls-Dyna求解器计算,选取座椅骨架中5种关键结构的厚度为优化对象,基于最优拉丁超立方设计方法,建立Kriging模型,采用第二代非劣排序遗传算法(NSGA-Ⅱ)进行多目标优化,最终位移余量大幅提升,最大应力降低8.32%,质量降低4.44%,提升后排座椅动态特性的同时实现轻量化。
Focusing on the poor performance of the rear seat of an automobile during the luggage impact dynamic test according to the GB15083-2006 regulations,the seat frame is optimised.Through the analysis of the transmission path of the impact force,finite element model is established by HyperMesh and calculated by Ls-Dyna solver.The thickness of five key structuresin the seat frame have been chosen as the optimising targets.Based on the Optimal Latin Hypercube Design method,Kriging model is set up using non-dominated sorted genetic algorithm-Ⅱ(NSGA-Ⅱ)for multi-objective optimization.As results,displacement allowance significantly increases the maximal stress decreases by 8.32%,and the mass decreases by 4.44%,thereby improving the dynamic characteristics of the rear seat,as well as ensuring the goal of lightweight.
作者
叶畅
周廷美
莫易敏
吕俊成
高烁
刘青春
YE Chang;ZHOU Tingmei;MO Yimin;LV Juncheng;GAO Shuo;LIU Qingchun(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China;AIC-GM-Wuling Automobile Co.Ltd.,Liuzhou 545007,China)
基金
广西应用技术研究与开发课题资助项目(1348003-5)
