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Deep learning assisted insights on porosity evolution of WAAM aluminium alloys

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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
This work investigates the porosity distribution of Wire Arc Directed Energy Deposition (WA-DED) Al-12Si alloys using image processing and three deep learning techniques. The UNet model outperformed the two models based on accuracy and Jaccard index score ...