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