Research on an efficient prediction for deformations of thread connections based on deep transfer learning
Abstract Threaded connections are essential components in mechanical assemblies, subjected to complex deformations under various loading conditions (e.g., tension, torque, bending, and shear), influenced by bolt geometry and material properties. Accurate deformation prediction under complex loading...
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| Main Authors: | Zhao Liu, Zeyu Qi, Hao Lu, Yan Liu, Jintao Fan, Xuefeng Wang, Caishan Liu |
|---|---|
| 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/s41598-025-08776-8 |
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