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International Journal of Automotive Technology > Volume 19(3); 2018 > Article
International Journal of Automotive Technology 2018;19(3): 455-461.
doi: https://doi.org/10.1007/s12239-018-0044-x
SEQUENTIAL APPROXIMATE OPTIMIZATION OF MACPHERSON STRUT SUSPENSION FOR MINIMIZING SIDE LOAD BY USING PROGRESSIVE META-MODEL METHOD
Byung Chul Choi1, Seunghyeon Cho2, Chang-Wan Kim1
1Konkuk University
2Hanyang University
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.
Key Words: MacPherson strut suspension, Side load, Flexible multi-body dynamics, Progressive meta-model, Radial basis function
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