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차량 A-필러, 패키지 트레이 경량화를 위한 소재 선정 최적설계
진성완(Sungwan Jin),박도현(Dohyun Park),이갑성(Gabseong Lee),최동훈(Dong-Hoon Choi),김대승(Dae Seung Kim),양대호(Daeho Yang),김창원(Chang Won Kim) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
This study proposes an optimal material selection method for minimizing the weight of A-pillar and package tray while satisfying design requirements on static stiffness values and dynamic stiffness values. First, we formulate a material selection optimization problem. Next, we establish the CAE procedure of evaluating static and dynamic stiffness values. Then, to enhance the efficiency of design work, we integrate and automate the established CAE procedure using a commercial process integration and design optimization tool, PIAnO. For effective optimization, we adopt the approach of metamodel based approximate optimization. We select sampling points using an orthogonal array for generating radial basis function regression models, and carry out the optimization for selecting optimum material combination using an evolutionary algorithm that can handle discrete design variables. Material optimization result reveals that the weight is reduced by 49.8% while satisfying all the design constraints.
박도현(Dohyun Park),진성완(Sungwan Jin),이갑성(Gabseong Lee),최동훈(Dong-Hoon Choi),김대승(Dae Seung Kim),양대호(Daeho Yang) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
This research treats the optimization of the material arrangement. To improve fuel efficiency and driving performance and to reduce production costs, an effort to reduce the weight of a vehicle has been steadily tried in automotive industry. Since the weight of BIW takes up a large portion of the total weight of a vehicle, reducing the weight of BIW greatly contributes to reducing the total weight of a vehicle. In this research, we formulate a design problem to minimize the weight of the BIW while satisfying design requirements about bending and torsional stiffness and establish a Metamodel-based design optimization strategy to solve the design problem. As a result of the optimization, we obtain weight reduction by 46.9% while satisfying all design requirements.