Optimization of Robotic Welding Processes Using Digital Twin Technology

Abstract

Digital twin (DT) technology has emerged as a transformative approach in modern manufacturing. In robotic welding processes, the adoption of DT enables real-time monitoring, process optimization, and predictive maintenance. This paper presents a systematic approach to optimizing robotic welding through digital twin integration. A digital replica of the robotic welding cell was created, enabling simulation and optimization of welding parameters. Results demonstrate significant improvements in welding precision, process stability, and defect reduction. The proposed approach offers a promising pathway for intelligent manufacturing systems.