Novel Approach for Surface Defect Analysis of Friction Stir Welded Lightweight Automotive Metal Alloys by using Local Binary Patterns
Abstract
Friction Stir Welding is a revolutionary solid-state joining process that overcomes the limitations of the conventional welding process. However, none of the welded joints are free from surface defects which can be due to improper selection of welding input parameters such as tool rotational speed, tool traverse speed, axial force, etc. In the present work, a novel approach is used for surface defects detection from the six samples of Friction Stir Welded joints of Aluminium 6060-T5 plates with the help of image processing technique known as Local Binary Patterns (LBP). The LBP images of the samples obtained showed very promising results that can be implemented for the detection of surface defects.
How to cite this article: Mishra A, Singh VP, Maurya S. Novel Approach for Surface Defect Analysis of Friction Stir Welded Lightweight Automotive Metal Alloys by using Local Binary Patterns. J Adv Res Mfg Mater Sci Met Engi 2020; 7(1&2): 8-14.
DOI: https://doi.org/10.24321/2393.8315.202001
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