Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy
The paper is devoted to the development of the method of laser shock peening (LSP) of metals. To optimize the mode of LSP for Ti-6Al-4V specimens a deep learning model for predicting residual stresses by laser shock peening was developed. A numerical-experimental method was used to carry out the mo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2024-08-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://fracturae.com/index.php/fis/article/view/5090 |
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