Prediction of GTAW penetration state based on enhanced knowledge of dynamic morphology molten pool
To achieve online monitoring of welding penetration status, ensure weld quality, and promote the development of robotic intelligent technology, a knowledge-enhanced prediction method for Gas Tungsten Arc Welding (GTAW) penetration status based on molten pool dynamic deformation is proposed. High-spe...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Transactions of the China Welding Institution, Welding Journals Publishing House
2025-05-01
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| Series: | Hanjie xuebao |
| Subjects: | |
| Online Access: | https://doi.org/10.12073/j.hjxb.20240115003 |
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