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유지수(Ji Sue Yoo),이성훈(Sung Hoon Lee),임홍재(Hong Jae Yim) 대한기계학회 2011 대한기계학회 춘추학술대회 Vol.2011 No.10
In general, side collision accidents cause higher death rate compared to front or rear collision accidents because the space for absorbing the impact energy is small and narrow. Therefore, it is necessary to improve side impact performance. In this paper, the design optimization of the vehicle side members is performed for improving side impact performance and mass minimize. Design parameters which seriously influence on the side impact performance are selected through the sensitivity analysis using the Plackett-Burman design. And also the design variables, which are determined from the sensitivity analysis, are optimized through the sequential approximate optimization process based on the meta-model. The proposed optimization technique shows that the side structure of a vehicle can be effectively designed considering the side impact.
후방 저속 충돌 성능 향상을 위한 C/BOX 설계에 관한 연구
김상훈(Sang Hoon Kim),유지수(Ji Sue Yoo),임홍재(Hong Jae Yim) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11
The aim of this study is to optimize rear crash box so as to reduce damage on car body structure from low-speed rear impact. According to RCAR low-speed structural crash test protocol, the analysis is carried out to evaluate the damageability of the car. A study of Correlation between bead parameters and performance is carried out by sensitivity analysis. After that, an optimal rear crash-box is designed by response surface method(RSM). The analysis results show that the improved rear crash box can reduce 47% of damage on body structure.
박홍익(Hong Ik Park),유지수(Ji Sue Yoo),이준영(Jun Young Lee),이상범(Sang Beom Lee),임홍재(Hong Jae Yim) 대한기계학회 2012 大韓機械學會論文集A Vol.36 No.2
이 논문은 배터리의 위치 변화에 따라 발생되는 OLEV의 처짐 개선을 위한 배터리 지지구조물의 설계에 대한 것이다. 배터리의 위치 변화에 따른 OLEV의 동강성을 유한요소해석을 통해 분석하였고, 동강성이 가장 높은 위치를 찾았다. 배터리 하중에 의한 최대 처짐을 정적 해석을 통해 분석하였다. 발생된 처짐을 줄이기 위해서 기본 프레임 부재별 기여도와 보강재 사용 시 보강재의 위치에 따른 기여도에 대한 평가를 수행하였고, 기여도가 높은 기본 프레임과 보강 프레임을 사용한 개선 모델을 선정하였다. 개선 모델을 사용하여 정적 해석을 수행하였고, 기본 모델과의 결과를 비교하였다. 기여도 평가를 통한 개선 및 보강으로 처짐을 목표치 이하가 되도록 하였고, 이 때 개선 모델의 질량이 기본 모델 보다 감소하는 것을 확인할 수 있었다. This paper presents methods to reduce the deflection of the battery-supporting structure on on-line electric vehicles (OLEVs). First, by testing various battery locations, a location is found that increases the dynamic stiffness of the OLEV. Second, static analysis is conducted to analyze the maximum deflection caused by the battery weight. In order to reduce the amount of deflection, the contributions of the battery-supporting structures are analyzed, and reinforcements are inserted. Then, another static analysis is conducted to compare the results of the base model and modified model. Consequently, through the static analysis, both the base model and modified model are similarly improved in terms of deflection, but the modified model is better than the base model at reducing the mass.
김성현(Sunghyun Kim),김용석(Yongsuk Kim),김형일(Hyungil Kim),기원용(Won yong Ki),유지수(Ji Sue Yoo),허승진(Seung Jin Heo),임홍재(Hong Jae Yim) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
This study was conducted to apply for optimal design considered multi-disciplinary constrained conditions. Multidisciplinary constrained conditions mean that lightweight design, structure stiffness and safety. Because such as these design parameters are conflictive relation, it is hard to design optimal model through conventional parameter study. First, effect analysis was performed to select design variables largely effecting on performance such as dynamic stiffness, static stiffness, full frontal crash, ODB crash and RCAR offset crash. From first phase, totally 12 design variables were selected. Second phase is Radial Basis Function (RBF) type Meta-model established by using selected design variables and Latin Hypercube (LHC) Design of Experiment (DOE). In the last phase is to find the optimal solution that meets constraints and objectives by using a Genetic Algorithm (GA) which consists of three genetic operations named selection, cross-over and mutation. To find optimum, this study uses LS-OPT and LS-DYNA.