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