A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing

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

Original language	English
Journal	The International Journal of Advanced Manufacturing Technology
DOIs	https://doi.org/10.1007/S00170-022-08966-Y
State	Published - 2 Mar 2022

Access to Document

@article{3fed505dbcf04ef48321f7bf225acbf5,

title = "A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing",

author = "Barrionuevo, \{German O.\} and Sequeira-Almeida, \{Pedro M.\} and Sergio Rios and Ramos-Grez, \{Jorge A.\} and Williams, \{Stewart W.\}",

year = "2022",

month = mar,

day = "2",

doi = "10.1007/S00170-022-08966-Y",

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

journal = "The International Journal of Advanced Manufacturing Technology",

}

TY - JOUR

T1 - A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing

AU - Barrionuevo, German O.

AU - Sequeira-Almeida, Pedro M.

AU - Rios, Sergio

AU - Ramos-Grez, Jorge A.

AU - Williams, Stewart W.

PY - 2022/3/2

Y1 - 2022/3/2

UR - https://publons.com/wos-op/publon/51626058/

U2 - 10.1007/S00170-022-08966-Y

DO - 10.1007/S00170-022-08966-Y

M3 - Artículo

JO - The International Journal of Advanced Manufacturing Technology

JF - The International Journal of Advanced Manufacturing Technology

ER -