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Reliability-based Design Optimization for Lower Control Arm using Limited Discrete Information

제한된 이산정보를 이용한 로어컨트롤암의 신뢰성 기반 최적설계

  • 장준용 (한양대학교 자동차공학과) ;
  • 나종호 (한국GM Structure Integration팀) ;
  • 임우철 (한양대학교 자동차공학과) ;
  • 박상현 (한양대학교 자동차공학과) ;
  • 최성식 (한양대학교 자동차공학과) ;
  • 김정호 (한국GM Structure Integration팀) ;
  • 김용석 (한국GM Structure Integration팀) ;
  • 이태희 (한양대학교 자동차공학과)
  • Received : 2013.07.23
  • Accepted : 2013.08.22
  • Published : 2014.03.01

Abstract

Lower control arm (LCA) is a part of chassis in automotive. Performances of LCA such as stiffness, durability and permanent displacement must be considered in design optimization. However it is hard to consider different performances at once in optimization because these are measured by different commercial tools like Radioss, Abaqus, etc. In this paper, firstly, we construct the integrated design automation system for LCA based on Matlab including Hypermesh, Radioss and Abaqus. Secondly, Akaike information criterion (AIC) is used for assessment of reliability of LCA. It can find the best estimated distribution of performance from limited and discrete stochastic information and then obtains the reliability from the distribution. Finally, we consider tolerances of design variables and variation of elastic modulus and achieve the target reliability by carrying out reliability-based design optimization (RBDO) with the integrated system.

Keywords

References

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  1. Reliability-based Design Optimization for Composite Wind Turbine Blades Considering Material Uncertainty vol.13, pp.3, 2017, https://doi.org/10.7849/ksnre.2017.9.13.3.041