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A Study of the Comparison for Performance Advancement of Seam Tracking in Gas Metal Arc Welding  

Lee, Jeong-Ick (용인송담대학 자동차기계학부)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.16, no.1, 2007 , pp. 9-18 More about this Journal
Abstract
There have been continuous efforts for automation of joint tracking system. This automation process is mainly used to do in root pass of gas metal arc welding in the field of heavy industry and shipbuilding etc. For automation, it is important using of vision sensor. Welding robot with vision sensor is used for weld seam tracking on welding fabrication. Recently, it is used to on post-weld inspection for weld quality evaluation. For real time seam tracking, it is very important role in vision process technique. Vision process is included in filtering and thinning, segmentation processing, feature extraction and recognition. In this paper, it has shown performance comparison results of seam tracking for real time root pass on gas metal arc welding. It can be concluded better segment splitting method than iterative averaging technique in the performance results of seam tracking.
Keywords
Performance of Seam Tracking; Vision Processing; Root Pass; Previous Algorithm; Iterative Averaging Technique; Segment Splitting Method;
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Times Cited By KSCI : 2  (Citation Analysis)
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