세미나 및 이벤트
Multi-Objective Design Exploration (MODE) for Multidisciplinary Design Optimization of Aircraft
세미나 날짜
2006-02-16
작성자
빈종훈
작성일
2006-02-09
조회
1672
1. 제 목 : Multi-Objective Design Exploration (MODE) for Multidisciplinary Design Optimization of Aircraft
2. 연 사 : 정 신 규, Institute of Fluid Science, TOHOKU UNIVERSITY
3. 일 시 : 2006년 2월 16일(목요일) 오후 3:00-5:00
4. 장 소 : 서울대학교 301동 117호
5. 내 용 :
This seminar discusses a new approach, Multi-Objective Design Exploration (MODE), for Multidisciplinary Design Optimization (MDO). Typical MDO problem involves competing objectives, for example in the aircraft design, minimization of aerodynamic drag, minimization of structural weight, etc. While single objective problems may have a unique optimal solutions, multi-objective problems (MOPs) have a set of compromised solutions, largely known as the trade-off surface, Pareto-optimal solutions or non-dominated solutions. Thus, the aim of the MODE is not to find an optimal solution but to reveals the structure of the design space from the trade-off information and visualizes it as a panorama for the decision making (DM).
Main components of MODE are search engines for the non-dominated front and data mining techniques. Adaptive Range Multi-Objective Genetic Algorithms (ARMOGA) is used as search engine and Self-Organizing Maps (SOM) and Analysis of Variance (ANOVA) are used for data mining.
MODE has been applied to a MDO problem for a regional-jet wing in cooperation with Mitsubishi Heavy Industries, Ltd. under the small jet aircraft R&D project sponsored by the New Energy development Organization of Japan (NEDO). Detailed results will be shown in the presentation.
6. 약 력 :
2004 - Present Institute of Fluid Science, Tohoku University, Research associate
2001 - 2004 Japan Aerospace Exploration Agency, Research associate
1997 - 1999 Ph.D, Aerospace Engineering, Tohoku University
1995 - 1997 M.S., Aerospace Engineering, Tohoku University
7. 문 의 : 기계항공공학부 김 규 홍 교수 (☏ 880-9346)
2. 연 사 : 정 신 규, Institute of Fluid Science, TOHOKU UNIVERSITY
3. 일 시 : 2006년 2월 16일(목요일) 오후 3:00-5:00
4. 장 소 : 서울대학교 301동 117호
5. 내 용 :
This seminar discusses a new approach, Multi-Objective Design Exploration (MODE), for Multidisciplinary Design Optimization (MDO). Typical MDO problem involves competing objectives, for example in the aircraft design, minimization of aerodynamic drag, minimization of structural weight, etc. While single objective problems may have a unique optimal solutions, multi-objective problems (MOPs) have a set of compromised solutions, largely known as the trade-off surface, Pareto-optimal solutions or non-dominated solutions. Thus, the aim of the MODE is not to find an optimal solution but to reveals the structure of the design space from the trade-off information and visualizes it as a panorama for the decision making (DM).
Main components of MODE are search engines for the non-dominated front and data mining techniques. Adaptive Range Multi-Objective Genetic Algorithms (ARMOGA) is used as search engine and Self-Organizing Maps (SOM) and Analysis of Variance (ANOVA) are used for data mining.
MODE has been applied to a MDO problem for a regional-jet wing in cooperation with Mitsubishi Heavy Industries, Ltd. under the small jet aircraft R&D project sponsored by the New Energy development Organization of Japan (NEDO). Detailed results will be shown in the presentation.
6. 약 력 :
2004 - Present Institute of Fluid Science, Tohoku University, Research associate
2001 - 2004 Japan Aerospace Exploration Agency, Research associate
1997 - 1999 Ph.D, Aerospace Engineering, Tohoku University
1995 - 1997 M.S., Aerospace Engineering, Tohoku University
7. 문 의 : 기계항공공학부 김 규 홍 교수 (☏ 880-9346)
