On-line measurement of weld fusion state using weld pool image and neurofuzzy model

Radovan Kovacevic, Yu M. Zhang

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations

Abstract

Proper fusion is crucial in generating a sound weld. Successful control of the fusion state requires accurate measurements of both the top-side and back-side bead widths. A top-side sensor based system is preferred so the sensor can be attached to and move with the torch. Thus, the system must be capable of estimating the back-side bead width using top-side parameters. Because skilled human operators can estimate the fusion state through observation of the weld pool, in this work a neurofuzzy system is developed to infer the back-side bead width from the pool geometry. It is found that the back-side bead width can be estimated with high accuracy by the identified neurofuzzy model. Thus, accurate feedback of the fusion state can be provided for controlling the fusion state.

Original languageEnglish
Pages307-312
Number of pages6
StatePublished - 1996
EventProceedings of the 1996 IEEE International Symposium on Intelligent Control - Dearborn, MI, USA
Duration: Sep 15 1996Sep 18 1996

Conference

ConferenceProceedings of the 1996 IEEE International Symposium on Intelligent Control
CityDearborn, MI, USA
Period9/15/969/18/96

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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