Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Material Optimization of BIW for Minimizing Weight

경량화를 위한 BIW 소재 최적설계

  • Jin, Sungwan (Department of Mechanical Engineering, Hanyang University) ;
  • Park, Dohyun (Department of Mechanical Engineering, Hanyang University) ;
  • Lee, Gabseong (Department of Mechanical Engineering, Hanyang University) ;
  • Kim, Chang Won (Hantool Engineering) ;
  • Yang, Heui Won (Research & Development Division, Hyundai Motors Group) ;
  • Kim, Dae Seung (Research & Development Division, Hyundai Motors Group) ;
  • Choi, Dong-Hoon (The Center of Innovative Design Optimization Technology (iDOT), Hanyang University)
  • 진성완 (한양대학교 기계공학과) ;
  • 박도현 (한양대학교 기계공학과) ;
  • 이갑성 (한양대학교 기계공학과) ;
  • 김창원 (한틀엔지니어링) ;
  • 양희원 (현대자동차 고성능차개발팀) ;
  • 김대승 (현대자동차 고성능차개발팀) ;
  • 최동훈 (한양대학교 최적설계신기술연구센터)
  • Received : 2011.12.09
  • Accepted : 2012.12.14
  • Published : 2013.07.01
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Abstract

In this study, we propose the method of optimally changing material of BIW for minimizing weight while satisfying vehicle requirements on static stiffness. First, we formulate a material selection optimization problem. Next, we establish the CAE procedure of evaluating static stiffness. Then, to enhance the efficiency of design work, we integrate and automate the established CAE procedure using a commercial process integration and design optimization (PIDO) tool, PIAnO. For effective optimization, we adopt the approach of metamodel based approximate optimization. As a sampling method, an orthogonal array (OA) is used for selecting sampling points. The response values are evaluated at the sampling points and then these response values are used to generate a metamodel of each response using the linear polynomial regression (PR) model. Using the linear PR model, optimization is carried out an evolutionary algorithm (EA) that can handle discrete design variables. Material optimization result reveals that the weight is reduced by 44.8% while satisfying all the design constraints.

Keywords

References

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