Parametric design evolution for production setups; a case study for welding fixtures

Vasos Arnaoutis*, Bojana V. Rosic, Eric Lutters

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

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Abstract

Automated design evolution and optimization are concepts of utmost interest to the industry for reducing design time and cost. This paper addresses the development of an automated design solution based on an evolutionary algorithm for a parametric design problem. The design problem addresses welding fixture designs as an integrated geometric design and configuration problem. The suggested automation approach is based on the parameterization of the fixture geometry and the welding process to minimize collisions across moving and static bodies during the welding operation. The aim is to produce a welding fixture design simulation that can be adjusted for specific requirements based on expert knowledge without re-iterating the entire composition of the problem. The modularity is demonstrated by modifications of the design problem formulation aimed at altering the exploration spectrum and design proposals of the welding fixture. An early system integration shows a reduction of designer efforts to 30% compared to a manual process, with an increase in overall process time due to software computational times.

Original languageEnglish
Pages (from-to)1522-1527
Number of pages6
JournalProcedia CIRP
Volume120
DOIs
Publication statusPublished - 12 Jan 2023
Event56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 - Cape Town, South Africa
Duration: 24 Oct 202326 Oct 2023
Conference number: 56

Keywords

  • Automated Design
  • Meta-heuristic Algorithms
  • Multi-Objective Optimization
  • Multi-stage Design
  • Parametric Design

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