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Robust optimization design for vehicle SEM based on 6 method |
ZHANG Ziwei1, ZHENG Ling1,2, XUE Wanying1, WU Xing1, LIAO Guangliang1 |
1.School of Automotive Engineeing, Chongqing University, Chongqing 400044, China;
2.State Key laboratory of mechanical transmission, Chongqing University, Chongqing 400044, China |
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Abstract 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.
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Received: 28 November 2018
Published: 28 July 2020
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