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전기자동차 모터 유냉식 방열성능 향상을 위한 열전달 해석 및 최적화
장준호(J.H. Jang),오근우(G.W. Oh),Xiang Sun,김종수(J.S. Kim),곽태희(T.H. Kwak),최정일(J.-I. Choi) 한국전산유체공학회 2020 한국전산유체공학회지 Vol.25 No.4
This paper presents the heat transfer analysis of the electric vehicle motor and optimization of an operating parameter for improving the performance of the motor with an oil cooling system. The homogeneous multi-phase flow model in commercial software, ANSYS CFX, is applied to solve the flow of mixture, including oil and air. We mainly focus on the influence of operating (oil level) and driving conditions (roll and pitch angles) on the cooling system. Several CFD simulations are performed with various input parameters (oil level, roll, and pitch angles) generated from the Latin Hypercube Sampling method. Based on the CFD results, we built a Polynomial Chaos Expansions based surrogate model to predict the temperature distribution, maximum temperature, and torque loss, which respond to the input parameters. Sensitivity analysis indicates that the oil level significantly affects system performance (maximum temperature and torque loss). Finally, the optimal range of oil level is estimated, considering the maximum allowable temperature of the motor.
초정밀 Spring 진동 Lamination 미세타발용 고강도 펀치 형상설계
강재영(J. Y. Kang),박민철(M. C. Pack),최정일(J. I. Choi),김병민(B. M. Kim),김동환(D. H. Kim) 한국소성가공학회 2011 한국소성가공학회 학술대회 논문집 Vol.2011 No.5
In this study, progressive process is determined to manufacture the fine blanking for the spring lamination used as the linear motor unit of a commercial mobile phone, and design parameters of a die shape having influence the forgeability of progressive die is analyzed. Finite element method (FEM) determine the influence of fine blanking punch parameters. And in order to predict the tendency of process parameters, results of FE-simulation have been trained using artificial neural network (ANN). From the results, optimal punch shape is determined.