This study presents the development of an “Automated Welding Preheat Temperature Monitoring and Warning System,” jointly created by ITRI and China Steel Machinery to enhance welding quality and safety. The system integrates a thermal imaging sensor mounted on a six-axis robotic arm to monitor workpiece surface temperature in real time. When the temperature exceeds preset limits, the system issues alerts and ensures compliance with welding procedure specifications. A multi-angle batch temperature measurement interface enables rapid parameter switching for different workpieces, displaying average, maximum, and minimum temperatures. Additionally, the system supports three operational modes—manual, identity-authenticated, and remote control—meeting Industry 4.0 automation requirements. This solution improves efficiency, reduces human error, and minimizes operational risks in welding processes
The article introduces a “Rapid Detection Technology for Feed System Rigidity Attenuation in Machine Tool Drive Systems.” It utilizes servo motor sine-wave sweep measurements to obtain the Frequency Response Function (FRF), converting resonance frequency and amplitude into data for comparison with a sensitivity database to assess screw preload conditions. By integrating a digital model database, the method predicts rigidity attenuation trends, with experimental verification showing less than 3% error compared to simulations. This approach enables early fault warnings, reduces downtime losses, and improves equipment utilization and maintenance efficiency. It is well-suited for automated production lines, offering low cost and high accuracy.
This article explores the evolution of machine tools showcased at JIMTOF 2022, focusing on Process Integration and Factory Automation to address labor shortages and decarbonization. Key highlights include in-machine measurement, 5-axis multitasking, and the integration of special processes (e.g., AM and FSW) to achieve "Done-in-One" efficiency. Furthermore, advancements in AI vision, collaborative robots, and AMRs overcome obstacles in long-term unmanned operations. The article concludes that the synergy between hardware, software, and Digital Twin technology is the vital driver for the industry’s Digital and Green Transformation (DX/GX).
