Recognition Of Butt Welding Joints Using Background Subtraction Seam Path Approach For Welding Robot

Hairol Nizam , Mohd Shah and Marizan, Sulaiman and Ahmad Zaki , Shukor and Mohd Zamzuri, Ab Rashid (2017) Recognition Of Butt Welding Joints Using Background Subtraction Seam Path Approach For Welding Robot. International Journal Of Mechanical & Mechatronic Engineering (Ijmme), 17 (1). pp. 57-62. ISSN 2227-2771

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The goals of this paper are to recognition the butt welding joint for welding robot environments by using a new approach of background subtraction seam path process. Butt welding joint images were captured from CCD camera mounted on the top of the work bench then processed by the proposed approach method to extract and determine the weld seam path position in x-y coordinates. The image is segmented used Sobel filtering to determine amplitude images in access channel then subtract between the access channel and input images with different threshold values to find the region of edges joint. Next process is to apply morphological technique, fill up the hole to calculate the area, skeleton and generate the sub-pixels type of data (XLD) contour points. The position of the start, mid, end and auxiliary points of butt welding joint are selected according to contour points with the three case studies identification weld seams path process. The results, shows that the proposed method was capable to automatically detect and identify the butt welding joints in three case studies without any prior knowledge of the shapes. In terms of match error compared with the actual position, case study 2 had the lowest matching error which is less then ± 2 pixels either column or row. The highest match errors happened in case study 3 where the matching error is in the range of ± 11 pixels.

Item Type: Article
Uncontrolled Keywords: Welding robot, Recognition seam path, Background subtraction, Seam path representation, Welding joint detection
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Electrical Engineering
Depositing User: Nor Aini Md. Jali
Date Deposited: 27 Mar 2017 03:44
Last Modified: 20 Jul 2021 20:53
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