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.

   – It can handle gap widths of less than 5mm and solves issues with incomplete fusion on side walls by rotating the arc actively.

4. Control of Heat and Force Distribution:

   – The technology can control the distribution of heat and force during welding, improving quality.

   – For multi-layer welding, it reduces the amount of filler material needed by 40%, increasing efficiency.

5. Full Position Welding Capability:

   – This technology supports welding in any position, enhancing flexibility and usability.

These advancements help improve the quality, efficiency, and automation of welding processes, especially in demanding industrial sectors.

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