Machine learning-assisted extreme value statistics of anomalies in AlSi10Mg manufactured by L-PBF for robust fatigue strength predictions

Machine learning-assisted extreme value statistics of anomalies in AlSi10Mg manufactured by L-PBF for robust fatigue strength predictions

Traditional Extreme Value Statistics (EVS) applied to block maxima sampled anomalies of components produced by Laser-Powder Bed Fusion may produce important inaccuracies in the estimated characteristic defects. In fact, the typical presence of multiple defect types may significantly affect the fitte...

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Bibliographic Details
Main Authors: G. Minerva, M. Awd, J. Tenkamp, F. Walther, S. Beretta
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Materials & Design
Subjects:
Laser-powder bed fusion
Extreme value statistics
Machine learning
X-ray computed tomography
Fatigue
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127523008079

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http://www.sciencedirect.com/science/article/pii/S0264127523008079

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