Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction

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

Original language	English
Journal	CIRP Journal of Manufacturing Science and Technology
DOIs	https://doi.org/10.1016/J.CIRPJ.2023.03.002
State	Published - 7 Apr 2023

Access to Document

@article{2239a2259e1845c489e09c08fc5a23a6,

title = "Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction",

author = "Barrionuevo, \{German O.\} and Magdalena Walczak and Jorge Ramos-Grez and Xavier Sanchez-Sanchez",

year = "2023",

month = apr,

day = "7",

doi = "10.1016/J.CIRPJ.2023.03.002",

language = "Ingl{\'e}s",

journal = "CIRP Journal of Manufacturing Science and Technology",

issn = "1755-5817",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction

AU - Barrionuevo, German O.

AU - Walczak, Magdalena

AU - Ramos-Grez, Jorge

AU - Sanchez-Sanchez, Xavier

PY - 2023/4/7

Y1 - 2023/4/7

UR - https://publons.com/wos-op/publon/64499183/

U2 - 10.1016/J.CIRPJ.2023.03.002

DO - 10.1016/J.CIRPJ.2023.03.002

M3 - Artículo

SN - 1755-5817

JO - CIRP Journal of Manufacturing Science and Technology

JF - CIRP Journal of Manufacturing Science and Technology

ER -