Robust concurrent concept selection and system synthesis

Wei Chen, Janet K. Allen, Farrokh Mistree

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce a concurrent approach to preliminary system design by using a modification of Taguchi's method of robust design. It is possible to model interactions among component concept selections and synthesis of system variables. This approach also can improve computational efficiency and provide more design knowledge for the conceptual design of complex engineering systems. This technique is effective in dealing with both discrete and continuous variables simultaneously in design. We illustrate our approach by the preliminary design of a solar powered irrigation system. The selections of critical component concepts are integrated with the determination of system variables, i.e., the thermodynamic operating parameters.

Original languageEnglish (US)
Title of host publication20th Design Automation Conference
Subtitle of host publicationVolume 1 - Dynamic Mechanical Systems; Geometric Modeling and Features; Concurrent Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages141-149
Number of pages9
ISBN (Electronic)9780791897676
DOIs
StatePublished - 1994
EventASME 1994 Design Technical Conferences, DETC 1994, collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium - Minneapolis, United States
Duration: Sep 11 1994Sep 14 1994

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
VolumePart F167892-6

Conference

ConferenceASME 1994 Design Technical Conferences, DETC 1994, collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium
CountryUnited States
CityMinneapolis
Period9/11/949/14/94

ASJC Scopus subject areas

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

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