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.
Multidisciplinary Robust Design Optimization of an Internal Combustion Engine
Contributed by the Design Automation Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received June 2001; revised June 2002. Associate Editor: J. E. Renaud.
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McAllister, C. D., and Simpson, T. W. (March 21, 2003). "Multidisciplinary Robust Design Optimization of an Internal Combustion Engine ." ASME. J. Mech. Des. March 2003; 125(1): 124–130. https://doi.org/10.1115/1.1543978
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