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机构地区:[1]华南理工大学机械与汽车工程学院,广州510641 [2]广东省汽车工程重点实验室,广州510641
出 处:《振动与冲击》2013年第20期76-80,共5页Journal of Vibration and Shock
基 金:国家863计划项目(2012AA110702);教育部新世纪人才计划项目(NCET-11-0157);华南理工大学中央高校基本科研业务费专项资金(x2jqD2115540)
摘 要:由于测量、加工、安装误差及老化等原因,悬置实际刚度通常在其名义设计值附近波动。为提高悬置系统频率配置和解耦布置的稳健性,采用区间数描述悬置刚度的波动范围,采用区间概率度和区间可靠度分别表征频率配置和解耦布置的稳健性,首先建立了悬置系统的区间稳健优化模型。假设悬置刚度的波动服从均匀分布,建立了悬置系统的随机稳健优化模型。将两种优化模型用于对某轿车悬置系统频率和解耦率的稳健性优化,结果表明,区间和随机稳健优化结果具有较好地一致性。The mount stiffness of a powertrain mounting system (PMS) generally fluctuates around its nominal design value due to measurement inaccuracy, processing and installation errors, and material aging. To improve the robustness of the frequency allocation and decoupling layout of a PMS, an interval optimization model was presented. In this model, interval number was used to describe the uncertainty of the mount stiffness, interval reliability and interval probability indices were used to characterize the robustness of the decoupling layout and frequency allocation, respectively. Then, a six-sigma random robust optimization model for a PMS was constructed in this model, the fluctuation of the mount stiffness was assumed to obey a uniform distribution. The interval optimization and six-sigma random optimization approaches were used to maximize the decoupling ratios of a general car PMS under robustness requirements of frequency allocation and decoupling layout. Optimization results showed that both the interval optimization and the six- sigma random optimization can obtain satisfactory robust designs, and the optimization results of the two optimization models have a good consistency.
分 类 号:TK406[动力工程及工程热物理—动力机械及工程]
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