Sequential Approximate Optimization of MacPherson Strut Suspension for Minimizing Side Load by Using Progressive Meta-Model Method

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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.

Keywords

MacPherson strut suspension Side load Flexible multi-body dynamics Progressive meta-model Radial basis function 

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Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Byung Chul Choi
    • 1
  • Seunghyeon Cho
    • 2
  • Chang-Wan Kim
    • 3
  1. 1.Graduate School of Mechanical Design and Production EngineeringKonkuk UniversitySeoulKorea
  2. 2.Graduate School of Mechanical Design EngineeringHanyang UniversitySeoulKorea
  3. 3.School of Mechanical EngineeringKonkuk UniversitySeoulKorea

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