【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。更多还原

【Abstract】 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.更多还原