Multidisciplinary robust design optimization of an internal combustion engine

Charles D. McAllister, Timothy W. Simpson

Research output: Contribution to journalArticlepeer-review

138 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 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.

Original languageEnglish (US)
Pages (from-to)124-130
Number of pages7
JournalJournal of Mechanical Design, Transactions of the ASME
Volume125
Issue number1
DOIs
StatePublished - Mar 2003

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Multidisciplinary robust design optimization of an internal combustion engine'. Together they form a unique fingerprint.

Cite this