In-situ monitoring of image texturing via random forests and clustering with applications to additive manufacturing

The amount of attention paid to in-situ monitoring in Additive Manufacturing (AM) has significantly increased over the last few years, paving the way to a paradigm shift for quality monitoring and control via big data analysis of signals, images, and videos. In-situ quality monitoring represents an...

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Veröffentlicht in:	IIE transactions 2024-10, Vol.56 (10), p.1070-1084
Hauptverfasser:	Caltanissetta, Fabio, Bertoli, Luisa, Colosimo, Bianca Maria
Format:	Artikel
Sprache:	eng
Schlagworte:	Additive manufacturing Clustering Data analysis Extrusion Flaw detection Fused deposition modeling Image quality Manufacturing Monitoring Signal quality Surface layers Texturing
Online-Zugang:	Volltext
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