세미나 및 이벤트
Global Methods for Fluid Dynamics Device Optimization
세미나 날짜
2004-01-25
작성자
김성돈
작성일
2004-01-25
조회
1227
1. 제 목 : Global Methods for Fluid Dynamics Device Optimization
2. 연 사 : Prof. Wei Shyy
Department of Aerospace Engineering, Mechanics & Engineering Science
University of Florida
3. 일 시 : 2002년 5월 17일 (금) 14:00 - 16:00
4. 장 소 : 서울대 신공학관(301동) 117호
5. 내 용 :
Advanced fluid flow systems are being proposed to meet goals for increased performance, robustness and safety while concurrently decreasing development and manufacturing cost. These new goals are forcing consideration of design variables over ranges and in combinations not typically employed, thereby increasing the design space complexity. Objective and efficient evaluation of these new and complex designs can be facilitated by development and implementation of systematic optimization methods. In this talk, we present recent our efforts in adopting Response Surface Methods (RSM) and Neural Networks (NN) techniques for both preliminary and detailed design of fluid flow devices. Results and experiences with the use of response surface approximations and neural networks for design optimization of fluid flow devices will be discussed.
6. 약 력 :
1977 BS, National Tsing-Hua University, Taiwan
1981 M.S.E, Aerospace Engineering, University of Michigan
1982 Ph.D, Aerospace Engineering, University of Michigan
1982 – 1988 Staff Scientist, GE Corporate Research and Development Center
1988 – present Professor & Chairman, Dep. of Aerospace Eng., Mechanics and Eng. Science,
University of Florida
7. 문 의 : 기계항공공학부 이 수 갑 교수 (☏ 880-7384)
2. 연 사 : Prof. Wei Shyy
Department of Aerospace Engineering, Mechanics & Engineering Science
University of Florida
3. 일 시 : 2002년 5월 17일 (금) 14:00 - 16:00
4. 장 소 : 서울대 신공학관(301동) 117호
5. 내 용 :
Advanced fluid flow systems are being proposed to meet goals for increased performance, robustness and safety while concurrently decreasing development and manufacturing cost. These new goals are forcing consideration of design variables over ranges and in combinations not typically employed, thereby increasing the design space complexity. Objective and efficient evaluation of these new and complex designs can be facilitated by development and implementation of systematic optimization methods. In this talk, we present recent our efforts in adopting Response Surface Methods (RSM) and Neural Networks (NN) techniques for both preliminary and detailed design of fluid flow devices. Results and experiences with the use of response surface approximations and neural networks for design optimization of fluid flow devices will be discussed.
6. 약 력 :
1977 BS, National Tsing-Hua University, Taiwan
1981 M.S.E, Aerospace Engineering, University of Michigan
1982 Ph.D, Aerospace Engineering, University of Michigan
1982 – 1988 Staff Scientist, GE Corporate Research and Development Center
1988 – present Professor & Chairman, Dep. of Aerospace Eng., Mechanics and Eng. Science,
University of Florida
7. 문 의 : 기계항공공학부 이 수 갑 교수 (☏ 880-7384)
