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基于RSM近似模型的客车车架稳健性设计 被引量:4

Robustness Design of Bus Frame Based on RSM Approximation Model
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摘要 为提高客车性能的稳健性和约束的可靠性,选取城市客车最危险的扭转工况,对客车车架进行了有限元分析计算,利用最优拉丁超立方试验设计对初始变量进行灵敏度分析,筛选出对响应影响较大的15个设计变量;基于RSM近似模型,采用下山单纯形法算法对车架进行确定性优化,得到一组最优解;以确定性优化解作为初始值,结合最优拉丁超立方试验设计方法与下山单纯形算法,以质量最小以及它们的标准差和均值最小为目标进行多目标稳健性优化,可供汽车车架轻量化设计参考。 To improve the robustness of bus and reliability of constraints,this paper makes the finite element analysis and calculation of the torsional stability of the bus frame,in danger and analyzes the sensitivity of the initial variables by using the optimal Latin hypercube experimental design,screens out 15 design variables having large influence on the response.Then,based on the RSM approximation model,Downhill Simplex method is used to optimize its frame and with the optimal value as the initial value,the optimal Latin hypercube experimental design method is used with the downhill simplex method to do the multi-objective robust optimization with the minimum mass,standard deviation and minimum average value.A reference is given to the design of the lightweight frame.
作者 王楠 张洪信 赵清海 尹怀仙 张铁柱 WANG Nan;ZHANG Hongxin;ZHAO Qinghai;YIN Huaixian;ZHANG Tiezhu(School of Electromechanic Engineering,Qingdao University,Qingdao 266071,China;Power Integration and Energy Storage Systems Engineering Technology Center,Qingdao University,Qingdao 266071,China)
出处 《机械制造与自动化》 2019年第1期132-137,共6页 Machine Building & Automation
关键词 城市客车 车架 6σ稳健性优化 试验设计 多响应面近似模型 city bus frame six sigma robustness optimization experimental design polynomial response surface methodology
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