Abstract
In this paper, we introduce a multidisciplinary robust design optimization formulation to evaluate uncertainty encountered in the design process. The formulation is a combination of the bi-level Collaborative Optimization framework and the multiobjective approach of the compromise Decision Support Problem. To demonstrate the proposed approach, the design of a combustion chamber of an internal combustion engine containing two subsystem analyses is presented. The results indicate that the proposed Collaborative Optimization framework for multidisciplinary robust design optimization effectively attains solutions that are robust to variations in design variables and environmental conditions.
Original language | English (US) |
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Pages | 1067-1074 |
Number of pages | 8 |
State | Published - 2001 |
Event | 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA, United States Duration: Sep 9 2001 → Sep 12 2001 |
Other
Other | 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference |
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Country/Territory | United States |
City | Pittsburgh, PA |
Period | 9/9/01 → 9/12/01 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Mechanical Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design