Aldalur, E.; Suárez, A.; Curiel, D.; Veiga, F.; Villanueva, P. Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints. Metals2023, 13, 1532.
Aldalur, E.; Suárez, A.; Curiel, D.; Veiga, F.; Villanueva, P. Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints. Metals 2023, 13, 1532.
Aldalur, E.; Suárez, A.; Curiel, D.; Veiga, F.; Villanueva, P. Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints. Metals2023, 13, 1532.
Aldalur, E.; Suárez, A.; Curiel, D.; Veiga, F.; Villanueva, P. Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints. Metals 2023, 13, 1532.
Abstract
The automation of welding processes requires the use of automated systems and equipment, in many cases industrial robotic systems, to carry out welding processes that previously required human intervention. Automation in the industry offers numerous advantages, such as increased efficiency and productivity, cost reduction, improved product quality, increased flexibility and safety, and greater adaptability of companies to market changes. The field of welding automation is currently undergoing a period of profound changes due to a combination of technological, regulatory, and economic factors worldwide. Nowadays, the most relevant aspect of the welding industry is to meet customer requirements by satisfying their needs. To achieve this, the automation of the welding process through sensors and control algorithms ensures the quality of the parts and prevents errors such as porosity, unfused areas, deformations, excessive heat, etc. This paper proposes an intelligent and adaptive system based on the measurement of welding joints using laser scanning and the subsequent analysis of the obtained point cloud to adapt the welding trajectories.
Keywords
Welding; robotics; automation; thick joints
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
