JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Optimization of Chassis Frame by Using D-Optimal Response Surface Model
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Optimization of Chassis Frame by Using D-Optimal Response Surface Model
Lee, Gwang-Gi; Gu, Ja-Gyeom; Lee, Tae-Hui;
  PDF(new window)
 Abstract
Optimization of chassis frame is performed according to the minimization of eleven responses representing one total frame weight, three natural frequencies and seven strength limits of chassis frame that are analyzed by using each response surface model from D-optimal design of experiments. After each response surface model is constructed form D-optimal design and random orthogonal array, the main effect and sensitivity analyses are successfully carried out by using this approximated regression model and the optimal solutions are obtained by using a nonlinear programming method. The response surface models and the optimization algorithms are used together to obtain the optimal design of chassis frame. The eleven-polynomial response surface models of the thirteen frame members (design factors) are constructed by using D-optimal Design and the multi-disciplinary design optimization is also performed by applying dual response analysis
 Keywords
Response Surface Model;Design of Experiments;Sensitivity Analysis;D-optimal Design;Optimization;Optimum Design of Chassis;
 Language
Korean
 Cited by
1.
반응표면법과 최적화방법을 이용한 자동차 세라믹 모노리스 담체의 파단계수에 미치는 치수효과,백석흠;신순기;주원식;조석수;

대한기계학회논문집A, 2006. vol.30. 11, pp.1392-1400 crossref(new window)
2.
벌크 시멘트 트레일러의 정동적 유한요소해석,김진곤;이재곤;

대한기계학회논문집A, 2012. vol.36. 8, pp.945-951 crossref(new window)
 References
1.
이태희, 윤광수, 1998, 'NASTRAN을 이용한 외부 고유치문제의 설계민감도해석 외부 모듈 개발,' 대한계학회논문집 A, 22, 909-920

2.
Myers, Montgomery, 1995, Response Surface Methodology - Process and Product Optimization Using Designed Experiments, John Wiley & Sons, New York

3.
박성현, 1998, 회귀분석, 민영사

4.
Dudley, 1995, 'Multidisciplinary Optimization of the High-Speed Civil Transport,' AIAA-95-0124

5.
Srinivas Kodiyalam, 1998, 'Design of Experiments based Response Surface Models for Design Optimization,' 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Material Conference, AIAA-98-2030, 2718-2727

6.
Bennet, et. al., 1998, 'Issues in Industrial Multidisciplinary Optimization,' 7th AIAA/USAF/NASA/ISSMO Symposium on MDO, AIAA-98-4727, 12-22

7.
MSC, 1999, NASTRAN User's Manual

8.
Engineous Software Inc., 1999, iSIGHT User's Guide

9.
Nguyen, N. K., and Miller, F. L., 1992, 'A Review of Some Exchange Algorithms for Constructing Discrete D-optimal Design,' Computational Statistics & Data Analysis, 14, 489-498, North-Holland crossref(new window)

10.
Owen, A. B., 1994, 'Orthogonal Arrays for Computer Experiments, Integration and visualization,' Statistica Sinica, 2, 439-452

11.
Del Castelli, E., and Montgomery, D.C., 1993, 'A Nonlinear Programming Solution to the Dual Response Problem,' Journal of Quality Technology, 25, 199-204

12.
Arora, J.S., 1989, Introduction to Optimum Design, McGraw-Hill