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
Link To Document :
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