摘要
针对汽车座椅传统轻量化方法存在计算周期长,提出一种基于多种代理模型的汽车座椅轻量化设计方法。首先,建立某乘用车座椅子系统碰撞台车试验的仿真模型,并经台车试验验证。然后,结合优化拉丁超立方试验设计,以6个座椅部件厚度和3种材料类型为设计变量,通过多种代理模型对样本点进行近似拟合。最后,以质量最小、1阶频率最大为目标,以假人最大下潜量、靠背转角为约束,采用粒子群算法进行多目标优化。结果表明:相比Kriging代理模型优化结果,基于多种代理模型优化,汽车座椅多减重0.74 kg,提高了36%,1阶模态频率提高1.39 Hz,计算周期缩短80%。
In view of the long calculation cycle of traditional lightweight methods of automobile seat,a lightweight design method of automobile seats based on the surrogate models is proposed.Firstly,the model for a passenger automobile seat collision test is built and verified by the collision test.Then combined with the optimized Latin hypercube experimental design,the thickness of six seat parts and three material types were taken as the design variables,and the sample points were approximately fitted based on the surrogate models.Finally,with the minimum mass,the maximum frequency of the first order as the target,the maximum dive volume of the dummy and the backrest Angle as the constraint,the particle swarm optimization algorithm was used for multi-objective optimization.The results show that comparing with the optimization results of Kriging model,based on the optimal surrogate models,the automobile seat weight reduced by 0.74 kg and 36%,the first-order mode frequency increased by 1.39 Hz,and the calculation cycle shortened by 80%.
作者
龙江启
胡俊
LONG Jiangqi;HU Jun(College of Mechanical and Electrical Engineering,Wenzhou University,Wenzhou 325035,Zhejiang,China)
出处
《机械科学与技术》
CSCD
北大核心
2021年第8期1285-1292,共8页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(51475336)。
关键词
汽车座椅
代理模型
轻量化
automobile seat
surrogate model
lightweight
