A modified welding image feature extraction algorithm for rotating arc narrow gap MAG welding

作者：Li, Wenhang^*; Ji, Yunhong; Wu, Jing; Wang, Jiayou

来源：Industrial Robot-The International Journal of Robotics Research and Application, 2015, 42(3): 222-227.

DOI：10.1108/IR-11-2014-0407

• Welding
• Image processing
• Seam tracking
• Vision sensing
• Rotating arc
• Narrow gap MAG welding

Purpose -The purpose of this paper is to provide a modified welding image feature extraction algorithm for rotating arc narrow gap metal active-gas welding (MAG) welding, which is significant for improving the accuracy and reliability of the welding process.
Design/methodology/approach -An infrared charge-coupled device (CCD) camera was utilized to obtain the welding image by passive vision. The left/right arc position was used as a triggering signal to capture the image when the arc is approaching left/right sidewall. Comparing with the conventional method, the authors' sidewall detection method reduces the interference from arc; the median filter removes the welding spatter; and the size of the arc area was verified to reduce the reflection from welding pool. In addition, the frame loss was also considered in the authors' method.
Findings -The modified welding image feature extraction method improves the accuracy and reliability of sidewall edge and arc position detection.
Practical implications -The algorithm can be applied to welding seam tracking and penetration control in rotating or swing arc narrow gap welding.
Originality/value -The modified welding image feature extraction method is robust to typical interference and, thus, can improve the accuracy and reliability of the detection of sidewall edge and arc position.

• 出版日期2015
• 单位江苏科技大学