Analytical and Machine Learning-based approaches to estimate the steady-state temperature limit on the surface of Cu powder beds when heated by a concentrated laser energy source

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dc.catalogadoraua
dc.contributor.authorRamos Grez, Jorge
dc.contributor.authorLa Fe-Perdomo, Ivan
dc.contributor.authorLarrain, Tomas
dc.date.accessioned2024-03-04T15:34:17Z
dc.date.available2024-03-04T15:34:17Z
dc.date.issued2022
dc.fuente.origenORCID
dc.identifier.doi10.1016/J.JMAPRO.2022.02.049
dc.identifier.urihttps://doi.org/10.1016/J.JMAPRO.2022.02.049
dc.identifier.urihttps://publons.com/wos-op/publon/52280740/
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/83186
dc.information.autorucEscuela de Ingeniería; Ramos Grez, Jorge; 0000-0002-9293-3275; 81538
dc.language.isoen
dc.rightsacceso restringido
dc.titleAnalytical and Machine Learning-based approaches to estimate the steady-state temperature limit on the surface of Cu powder beds when heated by a concentrated laser energy source
dc.typeartículo
sipa.codpersvinculados81538
sipa.trazabilidadORCID;2024-01-22
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