Convolutional neural networks for melt depth prediction and visualization in laser powder bed fusion
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Convolutional neural networks for melt depth prediction and visualization in laser powder bed fusion ; volume:129 ; number:7-8 ; day:21 ; month:10 ; year:2023 ; pages:3047-3062 ; date:12.2023
The international journal of advanced manufacturing technology ; 129, Heft 7-8 (21.10.2023), 3047-3062, 12.2023
- Creator
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Ogoke, Francis
Lee, William
Kao, Ning-Yu
Myers, Alexander
Beuth, Jack
Malen, Jonathan
Barati Farimani, Amir
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00170-023-12384-z
- URN
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urn:nbn:de:101:1-2024020808561743447546
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
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Associated
- Ogoke, Francis
- Lee, William
- Kao, Ning-Yu
- Myers, Alexander
- Beuth, Jack
- Malen, Jonathan
- Barati Farimani, Amir
- SpringerLink (Online service)
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Effect of bimodal powder blends on part density and melt pool fluctuation in laser powder bed fusion
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Numerical Simulation in the Melt Pool Evolution of Laser Powder Bed Fusion Process for Ti6Al4V
Non-isothermal Phase-Field Modeling of Heat–Melt–Microstructure-Coupled Processes During Powder Bed Fusion
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Solidification of Al12Si Melt Pool in Laser Powder Bed Fusion
Improving melt pool depth estimation in laser powder bed fusion with metallic alloys using the thermal dose concept
Revealing melt-vapor-powder interaction towards laser powder bed fusion process via DEM-CFD coupled model
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