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• W2076407730 startingPage "124" @default.
• W2076407730 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 framework, 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." @default.
• W2076407730 created "2016-06-24" @default.
• W2076407730 creator A5008226545 @default.
• W2076407730 creator A5015732156 @default.
• W2076407730 date "2003-03-01" @default.
• W2076407730 modified "2023-10-13" @default.
• W2076407730 title "Multidisciplinary Robust Design Optimization of an Internal Combustion Engine" @default.
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• W2076407730 doi "https://doi.org/10.1115/1.1543978" @default.
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