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Predicting porosity in laser powder bed fusion of metals (PBF-LB/M) using scanning data and machine learning

Laser powder bed fusion of metals (PBF-LB/M) remains prone to process-induced porosity, and practical tools that connect scan behavior to defect formation are still limited. In this study, we present a framework that predicts porosity from scan data acquired on a commercial PBF-LB/M system using an...

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Principais autores: Jesus Rivas, Cesar Terrazas, Hugo Estrada, Francisco Medina, James P. Carney
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-04-01
Serier:Additive Manufacturing Letters
Fag:
PBF-LB
Porosity
X-ray CT
Machine learning
Additive manufacturing
Online adgang:http://www.sciencedirect.com/science/article/pii/S2772369026000101
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