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Defect and Damage Characterization of Additively Manufactured Titanium Alloy Ti-5553 Using Traditional Computed Tomography Volume Segmentation and Machine Learning Algorithms

C.E. Massey, J.C. Miers, D.G. Moore, P.E. Specht,B.A. Branch

Materials Evaluation(2025)

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