Fuzzy classification of plasma reflection for keyhole sensing and control

Breton E. Losch, Yu Ming Zhang

Research output: Contribution to conferencePaperpeer-review

Abstract

Keyhole Arc Welding (KAW) can achieve deeper, narrower penetration than other arc welding processes. If KAW can be controlled in such a way as to minimize the heat input and the size of the weld pool while insuring full penetration, KAW could be an effective and affordable technology to improve the welding of thick materials. The key to developing such a controlled process is the development of a sensor that can detect the development of the keyhole. Preliminary studies have indicated that monitoring the plasma reflection could lead to a practical and accurate sensor for monitoring the keyhole development. Fuzzy logic provides a method for analysing this dynamic process in real time.

Original languageEnglish
Pages31-36
Number of pages6
StatePublished - 2002
EventProceedings of the 2002 IEEE International Conference on Control Applications - Glasgow, United Kingdom
Duration: Sep 18 2002Sep 20 2002

Conference

ConferenceProceedings of the 2002 IEEE International Conference on Control Applications
Country/TerritoryUnited Kingdom
CityGlasgow
Period9/18/029/20/02

Keywords

  • Fuzzy logic
  • Fuzzy modelling
  • Fuzzy sets
  • Image processing
  • Image segmentation
  • Industrial control

ASJC Scopus subject areas

  • Control and Systems Engineering

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