Intelligent Robotic Welding Based on a Computer Vision Technology Approach

Al-Karkhi N.K. Abbood W.T. Khalid E.A. Jameel Al-Tamimi A.N. Kudhair A.A. Abdullah O.I.
November 2022 MDPI

Computers
2022 #11 Issue 11

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.

ANFIS , image processing , line detection , robotic welding

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Automated Manufacturing Engineering Department, University of Baghdad, Baghdad, 10066, Iraq
College of Technical Engineering, Al-Farahidi University, Baghdad, 10001, Iraq
Department of Reconstruction and Projects, Ministry of Higher Education and Scientific Research, Baghdad, 10065, Iraq
Energy Engineering Department, University of Baghdad, Baghdad, 10071, Iraq
Department of Mechanics, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
System Technologies and Engineering Design Methodology, Hamburg University of Technology, Hamburg, 21073, Germany

Automated Manufacturing Engineering Department
College of Technical Engineering
Department of Reconstruction and Projects
Energy Engineering Department
Department of Mechanics
System Technologies and Engineering Design Methodology

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