Combining interactive exploration and optimization for assembly design

Gerard Jounghyun Kim, Simon Szykman

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

2 Citations (Scopus)

Abstract

This paper presents an integrated framework for assembly design. The framework allows the designer to represent knowledge about the design process and constraints, as well as information about the artifact being designed, design history and rationale. Because the complexity of assembly design leads to extremely large design spaces, adequately supporting design space exploration is a key issue that must be addressed. This is achieved in part by allowing the designer to use both top-down and bottom-up approaches to assembly design. Exploration of the design space is further enabled by incorporating a simulated annealing-based optimization tool that allows the designer to rapidly complete partial designs, refine complete designs, and generate multiple design alternatives.

Original languageEnglish
Title of host publication22nd Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791897591
DOIs
Publication statusPublished - 1996
Externally publishedYes
EventASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996 - Irvine, United States
Duration: 1996 Aug 181996 Aug 22

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume3

Conference

ConferenceASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996
Country/TerritoryUnited States
CityIrvine
Period96/8/1896/8/22

Bibliographical note

Funding Information:
This research was conducted at the National Institute of Standards and Technology and was supported by the National Research Council Postdoctoral Research Associateship program.

Publisher Copyright:
© 1996 American Society of Mechanical Engineers (ASME). All rights reserved.

ASJC Scopus subject areas

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

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