摘要
针对某新能源车的麦弗逊悬架下摆臂刚强度性能远大于目标要求,存在性能过剩的问题,采用全局响应面法(GRSM)进行尺寸优化。首先,利用Adams/Car建立麦弗逊悬架动力学模型,模拟不同工况下的受力状态,获取下摆臂硬点处的载荷。其次,在HyperWorks中建立下摆臂有限元模型,并进行刚强度分析。根据分析结果,以下摆臂各部件厚度为设计变量,以结构质量最小化、满足性能要求为目标,通过Hammersley试验设计构造各目标响应的移动最小二乘法(MLSM)响应面模型,在近似模型的基础上采用GRSM优化算法进行尺寸优化。优化后,质量从4.609 kg减少到3.123 kg,下降了约32.2%。最后,为了验证该优化算法的准确性和可靠性,将其与传统OptiStruct尺寸优化算法进行对比,实验表明,采用GRSM优化算法进行轻量化的效果更好。
Aiming at the problem that the stiffness performance of the lower swing arm of the MacPherson suspension of a new energy vehicle is much larger than the target requirement and there is an excess of performance,the global response surface method(GRSM)is used for size optimization.Firstly,Adams/Car is used to establish a dynamic model of McPherson suspension,simulate the force state under different working conditions,and obtain the load at the hard point of the lower swing arm.Secondly,the finite element model of the lower swingarm is established in HyperWorks and analyzed for stiffness.According to the analysis results,the thickness of each component of the lower swing arm is taken as the design variable,and with the goal of minimizing the structural mass and meeting the performance requirements,the moving least squares method(MLSM)response surface model of each target response is constructed through the Hammersley experimental design,and the size optimization is carried out by using the GRSM optimization algorithm on the basis of the approximate model.After optimization,the mass is reduced from 4.609 kg to 3.123 kg,a decrease of about 32.2%.Finally,in order to verify the accuracy and reliability of the optimization algorithm,compared with the traditional OptiStruct size optimization algorithm,the experiment shows that the GRSM optimization algorithm is better for lightweight.
作者
金明亮
张兰春
朱剑峰
JIN Mingliang;ZHANG Lanchun;ZHU Jianfeng(School of Automotive and Transportation Engineering,Jiangsu University of Technology,Changzhou 213001,China;Shanghai Jingyan Automobile Engineering Technology Co.,LTD,Shanghai 200331,China)
出处
《江苏理工学院学报》
2025年第2期76-84,共9页
Journal of Jiangsu University of Technology
