Machine learning-driven power prediction in continuous extrusion of pure titanium for enhanced structural resilience under extreme loading

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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Bibliographic Details
Main Authors: Ahmed Ghazi Abdulameer, Muhannad M. Mrah, Maryam Bazerkan, Luttfi A. Al-Haddad, Mustafa I. Al-Karkhi
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Materials
Subjects:
Machine learning
Materials
Direct extrusion
Structural resilience
Extreme loading
Online Access:https://doi.org/10.1007/s43939-024-00175-6
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https://doi.org/10.1007/s43939-024-00175-6

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