Comparative analysis and experimental validation of statistical and machine learning-based regressors for modeling the surface roughness and mechanical properties of 316L stainless steel specimens produced by selective laser melting

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dc.catalogadoraua
dc.contributor.authorLa Fe-Pedomo, Ivan
dc.contributor.authorRamos Grez, Jorge
dc.contributor.authorJeria, Ignacio
dc.contributor.authorGuerra, Carolina
dc.contributor.authorBarrionuevo, German Omar
dc.date.accessioned2024-03-04T15:13:16Z
dc.date.available2024-03-04T15:13:16Z
dc.date.issued2022
dc.fuente.origenORCID
dc.identifier.doi10.1016/J.JMAPRO.2022.06.021
dc.identifier.urihttps://doi.org/10.1016/J.JMAPRO.2022.06.021
dc.identifier.urihttps://publons.com/wos-op/publon/52106463/
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/81807
dc.information.autorucEscuela de Ingeniería; Ramos Grez, Jorge; 0000-0002-9293-3275; 81538
dc.language.isoen
dc.rightsacceso restringido
dc.titleComparative analysis and experimental validation of statistical and machine learning-based regressors for modeling the surface roughness and mechanical properties of 316L stainless steel specimens produced by selective laser melting
dc.typeartículo
sipa.codpersvinculados81538
sipa.trazabilidadORCID;2024-01-22
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