Machine learning-driven power prediction in continuous extrusion of pure titanium for enhanced structural resilience under extreme loading
Abstract The increasing demand for advanced materials capable of withstanding extreme loading conditions, such as those encountered during impact or blast events, underscores the need for innovative approaches in material processing. This study focuses on leveraging machine learning (ML) to enhance...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
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| Series: | Discover Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43939-024-00175-6 |
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