Predicting gas pores from photodiode measurements in laser powder bed fusion builds
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Predicting gas pores from photodiode measurements in laser powder bed fusion builds ; day:28 ; month:7 ; year:2023 ; pages:1-4
Progress in additive manufacturing ; (28.7.2023), 1-4
- Creator
-
Jayasinghe, Sarini
Paoletti, Paolo
Jones, Nick
Green, Peter L.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s40964-023-00489-6
- URN
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urn:nbn:de:101:1-2023103110215726657461
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
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Associated
- Jayasinghe, Sarini
- Paoletti, Paolo
- Jones, Nick
- Green, Peter L.
- SpringerLink (Online service)
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Automatic quality assessments of laser powder bed fusion builds from photodiode sensor measurements
A Convolutional Neural Network (CNN) classification to identify the presence of pores in powder bed fusion images
Powder-bed stabilization for powder-based additive manufacturing
Extracting powder bed features via electron optical images during electron beam powder bed fusion
Radiographic Visibility Limit of Pores in Metal Powder for Additive Manufacturing
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Laser Powder Bed Fusion von Magnesiumlegierungen
Melting ceramic Al2O3 powder by electron beam powder bed fusion
Electrophotographic powder application for metal powder bed based additive manufacturing
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