Authors: J Wu W B Shangguan
Publish Date: 2010/09/10
Volume: 11, Issue: 5, Pages: 651-658
Abstract
This paper presents a robust optimization design method based on Six Sigma quality control criteria to improve the design of a powertrain mounting system PMS The powertrain is modeled as a rigid body having six degrees of freedom DOF connected to a rigid base by four rubber mounts and each mount is simplified as a threedimensional springdamper element in its local coordinate system LCS The calculation method based on energy decoupling is used to estimate the decoupling ratios of a PMS The location and static stiffness of each mount and the orientations of the two antitorsion mounts are selected as uncertain design variables and the nominal values of these design variables are optimized to obtain a robust Six Sigma design for a PMS The uncertain design variables are characterized by a perturbation or percent variation around their nominal values The generalized reduced gradient LSGRG2 optimization method is employed to solve the robust optimization problem and a secondorder Taylor series expansion is used to estimate the statistical properties of the performance constraints and objectives The optimization results show that the robust design ensures good robustness or high reliability for the natural frequencies decoupling ratios and frequency separation constraints of a PMS
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