Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition

The prediction of the in-service behaviour of metal-matrix composites produced by laser-directed energy deposition is a fundamental challenge in additive manufacturing. The interaction between the reinforce-ment phase and the matrix has a major impact on the micro and macroscopic properties of these...

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Autores: Ostolaza Gaztelupe, Marta, Arrizubieta Arrate, Jon Iñaki, Queguineur, Antoine, Valtonen, Kati, Lamikiz Mentxaka, Aitzol, Flores Ituarte, Iñigo
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/58718
Acceso en línea:http://hdl.handle.net/10810/58718
Access Level:acceso abierto
Palabra clave:multi-material l-DED
metal matrix composites
diffusion
wear resistant coating
Tungsten carbide
Cobalt-base alloy
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oai_identifier_str oai:addi.ehu.eus:10810/58718
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spelling Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy depositionOstolaza Gaztelupe, MartaArrizubieta Arrate, Jon IñakiQueguineur, AntoineValtonen, KatiLamikiz Mentxaka, AitzolFlores Ituarte, Iñigomulti-material l-DEDmetal matrix compositesdiffusionwear resistant coatingTungsten carbideCobalt-base alloyThe prediction of the in-service behaviour of metal-matrix composites produced by laser-directed energy deposition is a fundamental challenge in additive manufacturing. The interaction between the reinforce-ment phase and the matrix has a major impact on the micro and macroscopic properties of these mate-rials. This interaction is fostered by the exposition of the materials to high temperatures. Hence, it is highly influenced by the thermal cycle of the manufacturing process. In this work, an experimental approach is adopted to determine the influence of the main process parameters on the properties of metal-matrix composites. Statistical regression models are employed to consider the role of the most rel-evant parameters, from exploration to exploitation. The obtained trends are further corroborated by the corresponding microstructural, SEM, and EDS analyses. In terms of surface hardness, the DOE reveals dif-ferent trends of the response depending on the composition of the feedstock employed. It is concluded that the strengthening behaviour of the material varies throughout the experimental domain studied. When high WC% feedstocks are employed, the main strengthening mechanism responsible for the increase of hardness is the solid-solution of tungsten and carbide precipitation. On the contrary, when low WC%s are employed, grain refinement becomes the main strengthening mechanism.This work was supported by the Basque Government (Eusko Jaurlaritza) [grant number KK-2021/00120 Imagine]; the Spanish Ministry of Science and Innovation [grant numbers PID2019-109220RB-I00 ALASURF, PDC2021-121042-I00 EHU-Coax]; and Business Finland [grant number TANDEM (4056/31/2021)].Elsevier202220222022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/58718reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MICINN/PID2019-109220RB-I00/https://www.sciencedirect.com/science/article/pii/S0264127522007948?via%3Dihubinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Atribución-NoComercial-SinDerivadas 3.0 Españaoai:addi.ehu.eus:10810/587182026-06-18T09:23:17Z
dc.title.none.fl_str_mv Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
title Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
spellingShingle Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
Ostolaza Gaztelupe, Marta
multi-material l-DED
metal matrix composites
diffusion
wear resistant coating
Tungsten carbide
Cobalt-base alloy
title_short Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
title_full Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
title_fullStr Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
title_full_unstemmed Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
title_sort Influence of process parameters on the particle-matrix interaction of WC-Co metal matrix composites produced by laser-directed energy deposition
dc.creator.none.fl_str_mv Ostolaza Gaztelupe, Marta
Arrizubieta Arrate, Jon Iñaki
Queguineur, Antoine
Valtonen, Kati
Lamikiz Mentxaka, Aitzol
Flores Ituarte, Iñigo
author Ostolaza Gaztelupe, Marta
author_facet Ostolaza Gaztelupe, Marta
Arrizubieta Arrate, Jon Iñaki
Queguineur, Antoine
Valtonen, Kati
Lamikiz Mentxaka, Aitzol
Flores Ituarte, Iñigo
author_role author
author2 Arrizubieta Arrate, Jon Iñaki
Queguineur, Antoine
Valtonen, Kati
Lamikiz Mentxaka, Aitzol
Flores Ituarte, Iñigo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv multi-material l-DED
metal matrix composites
diffusion
wear resistant coating
Tungsten carbide
Cobalt-base alloy
topic multi-material l-DED
metal matrix composites
diffusion
wear resistant coating
Tungsten carbide
Cobalt-base alloy
description The prediction of the in-service behaviour of metal-matrix composites produced by laser-directed energy deposition is a fundamental challenge in additive manufacturing. The interaction between the reinforce-ment phase and the matrix has a major impact on the micro and macroscopic properties of these mate-rials. This interaction is fostered by the exposition of the materials to high temperatures. Hence, it is highly influenced by the thermal cycle of the manufacturing process. In this work, an experimental approach is adopted to determine the influence of the main process parameters on the properties of metal-matrix composites. Statistical regression models are employed to consider the role of the most rel-evant parameters, from exploration to exploitation. The obtained trends are further corroborated by the corresponding microstructural, SEM, and EDS analyses. In terms of surface hardness, the DOE reveals dif-ferent trends of the response depending on the composition of the feedstock employed. It is concluded that the strengthening behaviour of the material varies throughout the experimental domain studied. When high WC% feedstocks are employed, the main strengthening mechanism responsible for the increase of hardness is the solid-solution of tungsten and carbide precipitation. On the contrary, when low WC%s are employed, grain refinement becomes the main strengthening mechanism.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/58718
url http://hdl.handle.net/10810/58718
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICINN/PID2019-109220RB-I00/
https://www.sciencedirect.com/science/article/pii/S0264127522007948?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Atribución-NoComercial-SinDerivadas 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Atribución-NoComercial-SinDerivadas 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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