Weld quality assessment using an edge detection algorithm

Rajesh Kumar

doi:10.1117/12.851138

14 April 2010 Weld quality assessment using an edge detection algorithm

Rajesh Kumar

Proceedings Volume 7522, Fourth International Conference on Experimental Mechanics; 75221U (2010) https://doi.org/10.1117/12.851138
Event: Fourth International Conference on Experimental Mechanics, 2009, Singapore, Singapore

Abstract

Heat input during the welding process and subsequent re-cooling changes the microstructure, hardness, toughness, and cracking susceptibility in heat affected zone (HAZ). Weld quality of a weldment largely depends on the area of HAZ. Determination of exact area of the HAZ by manual stereological methods and conventional visual inspection techniques is a difficult task. These techniques of evaluation are based on approximating the complex shape of HAZ as combination of simplified shapes such as rectangles, triangles etc. In this paper, a filtering scheme based on morphology, thresholding and edge detection is implemented on image of weldments to assess quality of the weld. The HAZ of mild steel specimens welded at different welding parameters by Metal Active Gas/Gas Metal Arc Welding process were compared and presented.

Citation Download Citation

Rajesh Kumar "Weld quality assessment using an edge detection algorithm", Proc. SPIE 7522, Fourth International Conference on Experimental Mechanics, 75221U (14 April 2010); https://doi.org/10.1117/12.851138

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