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

Ivan La Fe-Pedomo; Jorge A. Ramos-Grez; Ignacio Jeria; Carolina Guerra; German Omar Barrionuevo

doi:10.1016/J.JMAPRO.2022.06.021

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

Ivan La Fe-Pedomo
, Jorge A. Ramos-Grez
, Ignacio Jeria
, Carolina Guerra
, German Omar Barrionuevo

Department of Engineering

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Journal	Journal of Manufacturing Processes
DOIs	https://doi.org/10.1016/J.JMAPRO.2022.06.021
State	Published - 23 Jun 2022

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10.1016/J.JMAPRO.2022.06.021

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La Fe-Pedomo, I., Ramos-Grez, J. A., Jeria, I., Guerra, C., & Barrionuevo, G. O. (2022). 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. Journal of Manufacturing Processes. https://doi.org/10.1016/J.JMAPRO.2022.06.021

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title = "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",

author = "\{La Fe-Pedomo\}, Ivan and Ramos-Grez, \{Jorge A.\} and Ignacio Jeria and Carolina Guerra and Barrionuevo, \{German Omar\}",

year = "2022",

month = jun,

day = "23",

doi = "10.1016/J.JMAPRO.2022.06.021",

language = "Indefinido/desconocido",

journal = "Journal of Manufacturing Processes",

issn = "1526-6125",

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La Fe-Pedomo, I, Ramos-Grez, JA, Jeria, I, Guerra, C & Barrionuevo, GO 2022, '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', Journal of Manufacturing Processes. https://doi.org/10.1016/J.JMAPRO.2022.06.021

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. / La Fe-Pedomo, Ivan; Ramos-Grez, Jorge A.; Jeria, Ignacio et al.
In: Journal of Manufacturing Processes, 23.06.2022.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - 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

AU - La Fe-Pedomo, Ivan

AU - Ramos-Grez, Jorge A.

AU - Jeria, Ignacio

AU - Guerra, Carolina

AU - Barrionuevo, German Omar

PY - 2022/6/23

Y1 - 2022/6/23

UR - https://publons.com/wos-op/publon/52106463/

U2 - 10.1016/J.JMAPRO.2022.06.021

DO - 10.1016/J.JMAPRO.2022.06.021

M3 - Artículo

SN - 1526-6125

JO - Journal of Manufacturing Processes

JF - Journal of Manufacturing Processes

ER -

La Fe-Pedomo I, Ramos-Grez JA, Jeria I, Guerra C, Barrionuevo GO. 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. Journal of Manufacturing Processes. 2022 Jun 23. doi: 10.1016/J.JMAPRO.2022.06.021

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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