Multidisciplinary robust design optimization of an internal combustion engine

Charles D. McAllister, Timothy William Simpson

Research output: Contribution to conferencePaper

5 Scopus citations

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 languageEnglish (US)
Pages1067-1074
Number of pages8
StatePublished - Dec 1 2001
Event2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA, United States
Duration: Sep 9 2001Sep 12 2001

Other

Other2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
CountryUnited States
CityPittsburgh, PA
Period9/9/019/12/01

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All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

McAllister, C. D., & Simpson, T. W. (2001). Multidisciplinary robust design optimization of an internal combustion engine. 1067-1074. Paper presented at 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference, Pittsburgh, PA, United States.