Design Optimization of an Automotive Vent Valve Using Kriging Models

크리깅 모델을 이용한 자동차용 벤트 밸브의 최적설계

  • Park, Chang-Hyun (Graduate School of Mechanical Engineering, Hanyang University) ;
  • Lee, Young-Mi (Department of Mechanical and Industrial Engineering, Graduate School of Engineering, Hanyang University) ;
  • Choi, Dong-Hoon (The Center of Innovative Design Optimization Technology, Hanyang University)
  • 박창현 (한양대학교 대학원 기계공학과) ;
  • 이영미 (한양대학교 공학대학원 기계 및 산업공학과) ;
  • 최동훈 (한양대학교 최적설계신기술연구센터)
  • Received : 2010.04.08
  • Accepted : 2011.06.11
  • Published : 2011.11.01

Abstract

In this study, the specifications of the components of the vent vale were optimally determined in order to enhance the performance of the vent valve. Design objective was to minimize fuel leakage while satisfying the design constraints on the performance indices. To obtain the optimum solution based on real experiments, several design techniques available in PIAnO, a commercial PIDO tool, were used. First, an orthogonal array was used to generate training design points and then real experiments were performed to measure the experimental data at the training design points. Next, Kriging metamodels for the objective function and design constraints were generated using the experimental data. Finally, a genetic algorithm was employed to obtain the optimization results using the Kriging models. Fuel leakage of the optimized vent valve was found to be reduced by 95.8% compared to that of the initial one while satisfying all the design constraints.

Keywords

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