| Technical Name |
Artificial Intelligence Enhanced Robotic Welding for Multi-Layer Multi-Pass CJP Groove Welds |
| Project Operator |
National Taiwan University |
| Project Host |
周中哲 |
| Summary |
To counter welder shortages, this technology integrates manipulators, welding equipments, laser profilers and monitoring system. By training a "virtual welder" AI model on a robotic welding database and coupling it with an optimization algorithm, a robotic welding platform for CJP welds between a continuity plate and a steel column was developed. Full-scale column welding tests successfully verified the practical engineering value of this technology. |
| Scientific Breakthrough |
Featuring a core AI expert system with data cleaning, profile prediction, and optimization, this technology pairs adaptive robotic control with monitoring. It adjusts commands pass-by-pass to overcome fit-up errors. Utilizing a virtual welder to predict contours across complex parameters, it achieves automated multi-layer multi-pass welding. Validated via full-scale internal continuity plate tests, it meets strict seismic standards, proving its practical engineering value. |
| Industrial Applicability |
To tackle labor shortages and fit-up errors, the robotic welding platform from the technique integrates an 8-axis manipulator, laser scanning, and stable wire feeding into steel factory workflows. Powered by an AI expert system, it optimizes multi-layer multi-pass welding via a virtual welder. Validated on full-scale box columns, the ultrasonic testing pass rate exceeded 93%, matching professional welder quality and proving its practical engineering value for steel fabricators. |