DocumentCode :
2890893
Title :
Contaminant classification in robotic gas metal arc welding via image based spatter tracking
Author :
Schwab, Gunther ; Vincent, Tyrone L. ; Steele, John P H
Author_Institution :
Div. of Eng., Colorado Sch. of Mines, Golden, CO
fYear :
2008
fDate :
3-5 Sept. 2008
Firstpage :
751
Lastpage :
756
Abstract :
This paper presents a new method for measuring and classifying spatter in gas metal arc welding (GMAW) by optical monitoring of the weld pool and surrounding area via a high-frame-rate camera. Image processing and tracking algorithms are described that extract and classify individual spatter events from raw camera images. This new sensor is then used to investigate the relationship between workpiece contamination and weld spatter.
Keywords :
arc welding; cameras; contamination; feature extraction; pattern classification; robotic welding; GMAW; contaminant classification; high-frame-rate camera; image based spatter tracking; image processing; robotic gas metal arc welding; tracking algorithms; Cameras; Contamination; Control systems; Fault detection; Humans; Monitoring; Optical control; Robot vision systems; Robotics and automation; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2008. CCA 2008. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2222-7
Electronic_ISBN :
978-1-4244-2223-4
Type :
conf
DOI :
10.1109/CCA.2008.4629626
Filename :
4629626
Link To Document :
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