Comparison of machine learning methods for automatic classification of porosities in powder-based additive manufactured metal parts

An outstanding problem of additive manufacturing is the variability in part quality caused by process-induced defects such as porosity. Image-based porosity detection represents a solution that can be easily implemented into existing systems at a low cost. However, current industry porosity detectio...

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Veröffentlicht in:International journal of advanced manufacturing technology 2022-06, Vol.120 (9-10), p.6761-6776
Hauptverfasser: Satterlee, Nicholas, Torresani, Elisa, Olevsky, Eugene, Kang, John S.
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Sprache:eng
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