Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4733
Publisher DOI: 10.3390/computers11110155
Title: Intelligent robotic welding based on a computer vision technology approach
Language: English
Authors: Al-Karkhi, Nazar Kais 
Abbood, Wisam T. 
Khalid, Enas A. 
Al-Tamimi, Adnan Naji Jameel 
Kudhair, Ali A. 
Abdullah, Oday Ibraheem 
Keywords: robotic welding; image processing; ANFIS; line detection
Issue Date: 29-Oct-2022
Publisher: Multidisciplinary Digital Publishing Institute
Source: Computers 11 (11): 155 (2022)
Abstract (english): 
Robots have become an essential part of modern industries in welding departments to increase the accuracy and rate of production. The intelligent detection of welding line edges to start the weld in a proper position is very important. This work introduces a new approach using image processing to detect welding lines by tracking the edges of plates according to the required speed by three degrees of a freedom robotic arm. The two different algorithms achieved in the developed approach are the edge detection and top-hat transformation. An adaptive neuro-fuzzy inference system ANFIS was used to choose the best forward and inverse kinematics of the robot. MIG welding at the end-effector was applied as a tool in this system, and the weld was completed according to the required working conditions and performance. The parts of the system work with compatible and consistent performances, with acceptable accuracy for tracking the line of the welding path.
URI: http://hdl.handle.net/11420/14041
DOI: 10.15480/882.4733
ISSN: 2073-431X
Journal: Computers 
Other Identifiers: doi: 10.3390/computers11110155
Institute: Laser- und Anlagensystemtechnik T-2 
Document Type: Article
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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