Cutting-Edge Welding Technologies in China
Key Points from Professor Jia Chuanbao’s Presentation (Shandong University) –The Intersection of Advanced Technology and Craftsmanship (1) Dated 15-Nov, 2024 1. Visual Sensing and Deep Learning: – Uses visual sensors to capture images of the welding pool. – Applies deep learning algorithms to identify and predict the welding penetration state. 2. CNN-LSTM Network: – Combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for welding process prediction. – Achieves a prediction error of less than 0.5 and an accuracy of 99% for full penetration welding. 3. Rotating Arc Narrow Gap GTAW Technology: – This technology, which has independent intellectual property rights, is suitable for welding thick plates in high-end industries like nuclear power and marine engineering. –