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Correlation-guided temporal deep learning model for the prediction of fatigue life of printed AlSi10Mg alloy

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Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, Ahead of Print.
Accurate prediction of fatigue life in additively manufactured components remains challenging due to the complex interplay of mechanical properties, surface states, and microstructural factors. Correlation analysis enables the identification of key ...