【摘要】 悬架的关键部件如横向稳定杆、橡胶衬套和弹簧等,常因材料和制造工艺的不稳定导致悬架系统的刚度出现波动,对车辆平顺性和操稳性品质产生影响。以麦弗逊前悬架为研究载体,将零部件的刚度特性变化作为噪声变量,将硬点坐标值作为设计变量,采用二次响应面法建立了高精度的近似模型。基于同样的约束条件,采用序列二次优化算法,分别对悬架的硬点进行确定性以及稳健性优化设计,并用蒙特卡罗模拟对各自的优化结果进行稳健性分析。仿真计算结果表明:基于6σ的稳健性优化设计不仅使悬架的性能得到优化而且在可靠性水平方面更有优势。更多还原

【Abstract】 In actual production,the key components of the suspension such as the stabilizer bar,the rubber bushing and the spring are unstable due to the unstable manufacturing process,which greatly affects the vehicles’ smoothness and stability. In this paper,the McPherson front suspension is used as the research carrier,the stiffness characteristics of the components are taken as the noise variable,the hard point coordinate value is taken as the design variable,and the high-precision approximate model is established by the quadratic response surface method. Based on the same constraints, the sequence quadratic optimization algorithm is used to deterministic optimize of the suspension and the robustness design of it. The Monte Carlo simulation is used to analyze the robustness of each optimization result. The results show that the 6σ-based robustness optimization design not only optimizes the performance of the suspension but also has an advantage in terms of reliability.更多还原