Transport phenomena and genetic algorithm based window of welding variables to achieve a target gas metal arc fillet weld geometry

A. Kumar, T. DebRoy

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

Abstract

Current transport phenomena based welding models are designed to calculate temperature and velocity fields and other weld attributes such as the weld geometry. However, in many instances, the desired attribute such as the geometry is known and the correct set of welding parameters need to be determined. The mismatch between the practical need and the capability of the current models has restricted the use of these powerful models. This paper shows that by combining a numerical thermo-fluid model with an appropriate genetic algorithm based optimization scheme, many possible sets of welding variables that are capable of producing a given weld geometry can be determined. A three-dimensional numerical heat transfer and fluid flow model for the gas metal arc (GMA) welding of fillet joints is combined with a genetic algorithm (GA) based optimization scheme to obtain a window of welding variables. To reduce the computation time, the model is parallelized to run on multiple processors simultaneously. The approach outlined in this paper completely restructures numerical heat transfer and fluid flow calculations and empowers users to determine a window of input variables consisting of several sets of welding variables all of which would lead to a target weld geometry.

Original languageEnglish (US)
Title of host publicationTrends in Welding Research - Proceedings of the 7th International Conference
Pages91-96
Number of pages6
StatePublished - 2005
Event7th International Conference on Trends in Welding Research - Pine Mountain, GA, United States
Duration: May 16 2005May 20 2005

Publication series

NameASM Proceedings of the International Conference: Trends in Welding Research
Volume2005

Other

Other7th International Conference on Trends in Welding Research
CountryUnited States
CityPine Mountain, GA
Period5/16/055/20/05

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanical Engineering

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  • Cite this

    Kumar, A., & DebRoy, T. (2005). Transport phenomena and genetic algorithm based window of welding variables to achieve a target gas metal arc fillet weld geometry. In Trends in Welding Research - Proceedings of the 7th International Conference (pp. 91-96). (ASM Proceedings of the International Conference: Trends in Welding Research; Vol. 2005).