Sequential Approximate Optimization of MacPherson Strut Suspension for Minimizing Side Load by Using Progressive Meta-Model Method |
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| Authors: | Byung Chul Choi Seunghyeon Cho Chang-Wan Kim |
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| Affiliation: | 1.Graduate School of Mechanical Design and Production Engineering,Konkuk University,Seoul,Korea;2.Graduate School of Mechanical Design Engineering,Hanyang University,Seoul,Korea;3.School of Mechanical Engineering,Konkuk University,Seoul,Korea |
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| Abstract: | In a MacPherson strut suspension, the side load is inevitably generated and it causes friction at the damper reducing riding comfort. In this paper, to solve this problem, progressive meta-model based sequential approximate optimization (SAO) is performed to minimize the side load. To calculate the side load, a wheel travel analysis is performed by using flexible multi-body dynamics (FMBD) model of suspension, which can consider both finite element method (FEM) and multi-body dynamics (MBD). In the optimal design process, meta-model is generated by using extracted sampling points and radial basis function (RBF) method. As a result of optimal design, spring setting positions that minimize the side load are obtained and by using optimal spring setting positions, the suspension FMBD model was constructed. |
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