Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications

Detalhes bibliográficos
Autor(a) principal: Melo-Fonseca, Francisca
Data de Publicação: 2022
Outros Autores: Guimarães, Bruno, Gasik, Michael, Silva, Filipe S., Miranda, Georgina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/36479
Resumo: Laser surface texturing (LST) is a powerful technique for creating high quality micro-textured patterns with different shapes and sizes on metallic biomaterials. Textured surfaces may improve the interaction between bone and implant by increasing the surface contact area and thus promoting bone regeneration. The goal of this study was to explore Nd:YAG laser potential for texturing micro-scale pillars with pyramid geometry, with dimensions in a selected range, in a reproducible way. First, the design and texture of grooves were addressed, then proceeding to pillars. Two laser machining and marking strategies were investigated, and the consecutive laser processing strategy and continuous marking mode were selected due to the resultant smoother grooves. Then, a cross-hatched pattern was designed to texture a pillar pattern with targeted dimensions. Given the direct effect of the LST drawing and laser parameters on the texture dimensions, three mathematical models, one for each texture dimension (groove width, pillar width and pillar depth) were developed. These models are accurate tools for predicting the texture dimensions in the selected range and this LST approach was effective on creating well-defined, uniform and equally spaced surface textures on Ti6Al4V parts, in a reproducible way. A combination of drawing and laser parameters was selected for the target dimensions, also considering suitable wettability and roughness for biomedical applications.
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spelling Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applicationsLaser surface texturingNd: YAG laserTi6Al4VPredictive modelsSurface roughnessImplantsLaser surface texturing (LST) is a powerful technique for creating high quality micro-textured patterns with different shapes and sizes on metallic biomaterials. Textured surfaces may improve the interaction between bone and implant by increasing the surface contact area and thus promoting bone regeneration. The goal of this study was to explore Nd:YAG laser potential for texturing micro-scale pillars with pyramid geometry, with dimensions in a selected range, in a reproducible way. First, the design and texture of grooves were addressed, then proceeding to pillars. Two laser machining and marking strategies were investigated, and the consecutive laser processing strategy and continuous marking mode were selected due to the resultant smoother grooves. Then, a cross-hatched pattern was designed to texture a pillar pattern with targeted dimensions. Given the direct effect of the LST drawing and laser parameters on the texture dimensions, three mathematical models, one for each texture dimension (groove width, pillar width and pillar depth) were developed. These models are accurate tools for predicting the texture dimensions in the selected range and this LST approach was effective on creating well-defined, uniform and equally spaced surface textures on Ti6Al4V parts, in a reproducible way. A combination of drawing and laser parameters was selected for the target dimensions, also considering suitable wettability and roughness for biomedical applications.Elsevier2023-03-06T15:51:21Z2022-01-01T00:00:00Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/36479eng10.1016/j.surfin.2022.102466Melo-Fonseca, FranciscaGuimarães, BrunoGasik, MichaelSilva, Filipe S.Miranda, Georginainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:09:49Zoai:ria.ua.pt:10773/36479Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:05.258334Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
title Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
spellingShingle Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
Melo-Fonseca, Francisca
Laser surface texturing
Nd: YAG laser
Ti6Al4V
Predictive models
Surface roughness
Implants
title_short Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
title_full Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
title_fullStr Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
title_full_unstemmed Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
title_sort Experimental analysis and predictive modelling of Ti6Al4V laser surface texturing for biomedical applications
author Melo-Fonseca, Francisca
author_facet Melo-Fonseca, Francisca
Guimarães, Bruno
Gasik, Michael
Silva, Filipe S.
Miranda, Georgina
author_role author
author2 Guimarães, Bruno
Gasik, Michael
Silva, Filipe S.
Miranda, Georgina
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Melo-Fonseca, Francisca
Guimarães, Bruno
Gasik, Michael
Silva, Filipe S.
Miranda, Georgina
dc.subject.por.fl_str_mv Laser surface texturing
Nd: YAG laser
Ti6Al4V
Predictive models
Surface roughness
Implants
topic Laser surface texturing
Nd: YAG laser
Ti6Al4V
Predictive models
Surface roughness
Implants
description Laser surface texturing (LST) is a powerful technique for creating high quality micro-textured patterns with different shapes and sizes on metallic biomaterials. Textured surfaces may improve the interaction between bone and implant by increasing the surface contact area and thus promoting bone regeneration. The goal of this study was to explore Nd:YAG laser potential for texturing micro-scale pillars with pyramid geometry, with dimensions in a selected range, in a reproducible way. First, the design and texture of grooves were addressed, then proceeding to pillars. Two laser machining and marking strategies were investigated, and the consecutive laser processing strategy and continuous marking mode were selected due to the resultant smoother grooves. Then, a cross-hatched pattern was designed to texture a pillar pattern with targeted dimensions. Given the direct effect of the LST drawing and laser parameters on the texture dimensions, three mathematical models, one for each texture dimension (groove width, pillar width and pillar depth) were developed. These models are accurate tools for predicting the texture dimensions in the selected range and this LST approach was effective on creating well-defined, uniform and equally spaced surface textures on Ti6Al4V parts, in a reproducible way. A combination of drawing and laser parameters was selected for the target dimensions, also considering suitable wettability and roughness for biomedical applications.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01T00:00:00Z
2022
2023-03-06T15:51:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/36479
url http://hdl.handle.net/10773/36479
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.surfin.2022.102466
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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