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국내 최대 기계·건설 공학연구정보
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  • 국내학술대회

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    국내학술대회 제목 게시판 내용
    제목(국문) 인공신경망 기법을 이용한 리어 스포일러의 강건 최적 설계
    제목(영문) Robust Design Optimization of Rear Spoiler Using Artificial Neural Network
    저자 노주현 (Rho Joohyun ,Rotem ) ▷공저자네트워크등록하기
    윤수환 (Yun SuHwan ,서울대 ) ▷공저자네트워크등록하기
    전상욱 (Jun Sangook ,서울대 ) ▷공저자네트워크등록하기
    전용희 (Jeon Yong-Hee ,서울대 ) ▷공저자네트워크등록하기
    이동호 (Lee Dong Ho ,서울대 ) ▷공저자네트워크등록하기
    초록 To improve the stability and aerodynamic performance of a car, robust design optimization of the rear spoiler was implemented in this study. At first, sensitivity analysis for controllable and uncontrollable factors was carried out with Taguchi method. Through it, effect of factors on the stability and performance of the car was investigated. Finally, robust design of the rear spoiler was achieved with Monte Carlo Simulation and artificial neural network. As a result of this research, we could confirm the optimum that uncontrollable factors have less influence on the performance, which agrees to the result of sensitivity analysis. Furthermore, the stability and performance of a car is improved through this work.
    keyword Robust Design Optimization(강건최적설계), Artificial Neural Network(인공신경망), Taguchi Method(다구찌 기법), Rear Spoiler(스포일러).
    저널명 대한기계학회 춘계학술대회 ▷관련저널보기
    VOL 5
    PAGE 1572-1577
    발표년도 2005
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    영문File
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