AI APPLICATION IN QUALITY ASSURANCE OF INDUSTRIAL LASER WELDING PROCESSES

Abstract

The purpose of this paper is to explore conventional laser welding quality control methods and compare them with modern AI-based (Artificial Inteligence) testing solutions, highlighting the potential of AI in laser welding quality assurance. AI can effectively monitor various laser welding process signals and parameters to determine weld quality. Furthermore, AI image recognition can enhance weld error detection precision when monitoring laser welding with vision systems. In cases where conventional quality control methods, such as X-ray, are utilized, AI can be employed to process and interpret test results, reducing the time and effort required for a human operator. This paper presents and briefly discusses several successful AI application examples in laser welding quality assurance, as well as application possibilities, demonstrating the latest state-of-the-art non destructive laser welding test solutions.