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진성완(Sungwan Jin),박길배(Kil-Bae Park),성재호(Jae-Ho Seong) 한국철도학회 2012 한국철도학회 학술발표대회논문집 Vol.2012 No.10
본 연구는 철도차량의 승차감에 영향을 미치는 진동을 개선하기 위해 메타모델 기반의 근사최적설계를 수행하였다. 우선, 설계문제를 정식화한 후 철도차량 진동 개선을 위한 해석 프로세스를 구축하였다. 그리고 설계작업의 효율성 향상을 위해 해석 프로세스를 통합하고 자동화하였다. 최적해를 구하기까지의 계산비용을 줄이기 위해 메타모델 기반의 근사최적설계를 수행하였다. 실험계획법인 최적라틴방격추출법을 사용하여 실험점을 추출하고, 추출된 실험점을 사용하여 메타모델인 크리깅 모델을 생성하였다. 그 후, 진화 알고리즘을 사용하여 최적설계를 수행하여, 설계 요구사항을 만족하면서 진동을 14.6% 개선한 최적해를 도출하였다. In this study, we propose an approximate optimization method for improving railway performance. First, we formulate an optimization problem. Next, we establish the CAE procedure of evaluating vibration. Then, to enhance the efficiency of design work, we integrate and automate the established CAE procedure using a process integration and design optimization tool. For effective optimization, we adopt the approach of metamodel based approximate optimization. We select sampling point using an optimal Latin hypercube design for generating kriging models, and carry out the optimization for improving lateral vibration using an evolutionary algorithm. Optimization results reveal that the lateral vibration is reduced by 14.6% while satisfying the design constraint.
최적화 기법을 이용한 단조로 제작된 타이 로드 물성 도출
진성완(Sungwan Jin),신인섭(Inseob Shin),고수곤(Soogon Koh),김용갑(Yong Kap Kim),김재산(Jae-San Kim) 한국자동차공학회 2017 한국자동차공학회 학술대회 및 전시회 Vol.2017 No.11
Recently test-based correlation of CAE (computer aided engineering) analysis is required in various industries including automotive department, and the research has progressed on CAE analysis modeling, material properties and boundary conditions. In this paper, we derive material properties, Young’s modulus, yield strength and tensile strength, of steering component of forging tie rod assembly, inner tie rod and outer tie rod, for CAE analysis using optimization method. We formulated a design problem to minimize the error between 1st natural frequency of modal test, buckling strength of buckling test, and CAE analysis results using gradient-based algorithm, SQP (sequential quadratic programming) optimization method sequentially. The derived material properties of forging tie rod components reveal that the error between modal test, buckling test, and CAE analysis results has reduced.
아우터 타이 로드 경량화를 위한 근사 모델 기반 최적 설계
진성완(Sungwan Jin),고수곤(Soogon Koh),신인섭(Inseob Shin),김용갑(Yong Kap Kim),박규식(Kyushik Park) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
Recently in the various industries including automotive department are using CAE (computer aided engineering) method to reduce the development costs such as time and material cost. In this paper, we simplified the outer tie rod from finite element (FE) model to beam element model, approximation model. And we formulated a design problem to minimize the weight of outer tie rod while satisfying the design constraints, buckling load. Design optimization results reveals that the weight is reduced by 10.3% using evolutionary algorithm.
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.