A vision system for monitoring weld pool

Author

Brzakovic, D. ; Khani, D.T. ; Awad, B.

Author_Institution

Tennessee Univ., Knoxville, TN, USA

fYear

1992

fDate

12-14 May 1992

Firstpage

1609

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on

Conference_Location

Nice

Print_ISBN

0-8186-2720-4

Type

conf

DOI

10.1109/ROBOT.1992.220022

Filename

220022