Nonlinear dynamic modelling of weld penetration in Gas Tungsten Arc welding process

Yu Kang Liu, Shu Jun Chen, Wei Jie Zhang, Yu Ming Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Skilled welders can estimate and control the weld penetration based on weld pool observation. This implies that an advanced control system could be developed to control the penetration by emulating the decision making process of the human welder. In this paper a nonlinear dynamic model is established to correlate the process inputs (welding current and traveling speed) and weld penetration in Gas Tungsten Arc Welding (GTAW). An innovative 3D vision sensing system capable of measuring the weld pool characteristic parameters in real-time is utilized. Dynamic experiments are conducted under various welding conditions. Dynamic linear model is first constructed and the results are analyzed. The linear model is then improved by incorporating a nonlinear operating point modeled by Adaptive Neuro Fuzzy Inference System (ANFIS). It is found that the penetration state can be better modeled by the proposed ANFIS model.

Original languageEnglish
Title of host publicationMaterials and Manufacturing Research
Pages292-297
Number of pages6
DOIs
StatePublished - 2013
Event2012 International Conference on Materials and Manufacturing Research, ICMMR 2012 - , Hong Kong
Duration: Dec 19 2012Dec 20 2012

Publication series

NameAdvanced Materials Research
Volume658
ISSN (Print)1022-6680

Conference

Conference2012 International Conference on Materials and Manufacturing Research, ICMMR 2012
Country/TerritoryHong Kong
Period12/19/1212/20/12

Keywords

  • 3D
  • ANFIS
  • GTAW
  • Neuro-fuzzy modeling
  • Penetration
  • Weld pool geometry

ASJC Scopus subject areas

  • General Engineering

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