Quality prediction method for automotive body resistance spot welding based on digital twin technology
Abstract In the resistance spot welding (RSW) process of automotive bodies, accurately predicting the welding quality is of vital importance for ensuring the safety and reliability of vehicles. However, traditional prediction methods are limited by the constraints of on-site data collection, which p...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09959-z |
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