• DocumentCode
    382389
  • Title

    Fuzzy classification of plasma reflection for keyhole sensing and control

  • Author

    Losch, Breton E. ; Zhang, YuMing

  • Author_Institution
    Center for Robotics & Manuf. Syst., Kentucky Univ., Lexington, KY, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    31
  • 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.
  • Keywords
    arc welding; computerised monitoring; fuzzy logic; image classification; minimisation; optimal control; plasma applications; process control; process monitoring; real-time systems; KAW; dynamic process analysis; fuzzy classification; fuzzy logic; heat input minimization; keyhole arc welding; keyhole control; keyhole sensing; monitoring; plasma reflection; real time analysis; weld pool size minimization; Fuzzy control; Fuzzy logic; Monitoring; Plasma materials processing; Plasma welding; Process control; Reflection; Size control; Temperature control; Thickness control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2002. Proceedings of the 2002 International Conference on
  • Print_ISBN
    0-7803-7386-3
  • Type

    conf

  • DOI
    10.1109/CCA.2002.1040155
  • Filename
    1040155