Title :
A vision system for monitoring weld pool
Author :
Brzakovic, D. ; Khani, D.T. ; Awad, B.
Author_Institution :
Tennessee Univ., Knoxville, TN, USA
Abstract :
The authors describe a vision system that can monitor a weld pool in multipass arc-tungsten-gas welding. The system uses sequences of images acquired by a coaxial viewing where the optical axis coincides with the axis of the welding electrode. First, the system detects the weld pool edge by transforming an image such a way that a weld pool edge maps into a vertical curve that can easily be detected. Next, a weld pool is characterized by a pattern vector containing measurements pertaining to weld pool shape, size, and symmetry. The measurements were performed by using the detected weld pool edge. An analysis of a limited number of pattern vectors corresponding to normal and abnormal welding conditions indicates that such measurements have potential to be used in real-time weld pool monitoring and welding control
Keywords :
arc welding; computer vision; edge detection; image sequences; monitoring; abnormal welding conditions; computer vision; edge detection; image sequences; monitoring weld pool; multipass arc-tungsten-gas welding; normal welding conditions; pattern vectors; vision system; welding control; Coaxial components; Electrodes; Image edge detection; Machine vision; Monitoring; Pattern analysis; Performance evaluation; Shape measurement; Size measurement; Welding;
Conference_Titel :
Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
0-8186-2720-4
DOI :
10.1109/ROBOT.1992.220022
