基于6 的汽车发动机半主动悬置稳健性优化设计

针对一款汽车发动机控制节流孔式半主动悬置,建立其集总参数模型,通过灵敏度分析方法确定优化变量,以不同模式所处区间的力传递率最小为目标,采用遗传算法对其集总参数进行了确定性优化。考虑到加工制造误差导致的悬置性能变化,为提高产品的可靠性,采用蒙特卡洛法对确定性优化结果进行稳健性了分析,并运用6σ方法对半主动悬置进行了稳健性优化。研究结果表明:在允许的设计空间内,与确定性优化相比,基于6σ的稳健性优化设计能使半主动悬置的可靠性明显提高。

Robust optimization design for vehicle SEM based on 6 method

Dynamic performances of a kind of vehicle engine’s SEM with a controllable orifice in dual model operations are studied. The lumped parameter model is set up to reveal its characteristics. In this paper, GA method is used to solve the mount’s deterministic optimization problem that the minimization of the force transmission rate between two modes is taken as optimization objective, and the optimization variables are selected by sensitivity analysis. Considering the manufacturing errors, the semi-active mount’s performance is variable. In order to enhance the reliability and robustness of product, the semi-active mount is further optimized based on Six Sigma method after analyzing the result of robustness of deterministic optimization by means of Monte Carlo simulation. The results which calculated by robust optimization based on 6σ method show that the mount becomes much more reliable, compared with deterministic optimization’s results.