Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome

Detalhes bibliográficos
Autor(a) principal: Barão, Valentim A.R.
Data de Publicação: 2021
Outros Autores: Ramachandran, Remya Ampadi, Matos, Adaías Oliveira, Badhe, Ravindra Vijaykumar, Grandini, Carlos R. [UNESP], Sukotjo, Cortino, Ozevin, Didem, Mathew, Mathew
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.msec.2021.112000
http://hdl.handle.net/11449/208467
Resumo: The use of dental implants is growing rapidly for the last few decades and Ti-based dental implants are a commonly used prosthetic structure in dentistry. Recently, the combined effect of corrosion and wear, called tribocorrosion, is considered as a major driving process in the early failure of dental implants. However, no previous study has reported the prediction of tribocorrosion processes in advance. Therefore, this study is a novel investigation on how the acoustic emission (AE) technique can predict tribocorrosion processes in commercially-pure titanium (cpTi) and titanium-zirconium (TiZr) alloys. In this study, tribocorrosion tests were performed under potentiostatic conditions and AE detection system associated with it captures AE data. Current evolution and friction coefficient data obtained from the potentiostatic evaluations were compared with AE absolute energy showcased the same data interpretation of tribocorrosion characteristics. Other AE data such as duration, count, and amplitude, matched more closely with other potentiostatic corrosion evaluations and delivered more promising results in the detection of tribocorrosion. Hence, AE can be consider as a tool for predicting tribocorrosion in dental implants. Experimental results also reveal Ti5Zr as one of the most appropriate dental implant materials while exposing Ti10Zr's lower effectiveness to withstand in the simulated oral environment.
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spelling Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcomeAcoustic emission (AE)Dental implantsDiagnostic methodsTribocorrosionWear-corrosion synergismsThe use of dental implants is growing rapidly for the last few decades and Ti-based dental implants are a commonly used prosthetic structure in dentistry. Recently, the combined effect of corrosion and wear, called tribocorrosion, is considered as a major driving process in the early failure of dental implants. However, no previous study has reported the prediction of tribocorrosion processes in advance. Therefore, this study is a novel investigation on how the acoustic emission (AE) technique can predict tribocorrosion processes in commercially-pure titanium (cpTi) and titanium-zirconium (TiZr) alloys. In this study, tribocorrosion tests were performed under potentiostatic conditions and AE detection system associated with it captures AE data. Current evolution and friction coefficient data obtained from the potentiostatic evaluations were compared with AE absolute energy showcased the same data interpretation of tribocorrosion characteristics. Other AE data such as duration, count, and amplitude, matched more closely with other potentiostatic corrosion evaluations and delivered more promising results in the detection of tribocorrosion. Hence, AE can be consider as a tool for predicting tribocorrosion in dental implants. Experimental results also reveal Ti5Zr as one of the most appropriate dental implant materials while exposing Ti10Zr's lower effectiveness to withstand in the simulated oral environment.Department of Prosthodontics and Periodontology Piracicaba Dental School University of Campinas (UNICAMP)Department of Bioengineering University of Illinois at ChicagoDepartment of Biomedical Sciences UIC RockfordLaboratório de Anelasticidade e Biomateriais Univ Estadual Paulista (UNESP)Department of Restorative Dentistry College of Dentistry University of Illinois at ChicagoDepartment of Civil Materials and Environmental Engineering University of Illinois at ChicagoLaboratório de Anelasticidade e Biomateriais Univ Estadual Paulista (UNESP)Universidade Estadual de Campinas (UNICAMP)University of Illinois at ChicagoUIC RockfordUniversidade Estadual Paulista (Unesp)Barão, Valentim A.R.Ramachandran, Remya AmpadiMatos, Adaías OliveiraBadhe, Ravindra VijaykumarGrandini, Carlos R. [UNESP]Sukotjo, CortinoOzevin, DidemMathew, Mathew2021-06-25T11:12:40Z2021-06-25T11:12:40Z2021-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.msec.2021.112000Materials Science and Engineering C, v. 123.1873-01910928-4931http://hdl.handle.net/11449/20846710.1016/j.msec.2021.1120002-s2.0-85101828024Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMaterials Science and Engineering Cinfo:eu-repo/semantics/openAccess2024-04-25T17:40:30Zoai:repositorio.unesp.br:11449/208467Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-25T17:40:30Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
title Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
spellingShingle Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
Barão, Valentim A.R.
Acoustic emission (AE)
Dental implants
Diagnostic methods
Tribocorrosion
Wear-corrosion synergisms
title_short Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
title_full Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
title_fullStr Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
title_full_unstemmed Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
title_sort Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
author Barão, Valentim A.R.
author_facet Barão, Valentim A.R.
Ramachandran, Remya Ampadi
Matos, Adaías Oliveira
Badhe, Ravindra Vijaykumar
Grandini, Carlos R. [UNESP]
Sukotjo, Cortino
Ozevin, Didem
Mathew, Mathew
author_role author
author2 Ramachandran, Remya Ampadi
Matos, Adaías Oliveira
Badhe, Ravindra Vijaykumar
Grandini, Carlos R. [UNESP]
Sukotjo, Cortino
Ozevin, Didem
Mathew, Mathew
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
University of Illinois at Chicago
UIC Rockford
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Barão, Valentim A.R.
Ramachandran, Remya Ampadi
Matos, Adaías Oliveira
Badhe, Ravindra Vijaykumar
Grandini, Carlos R. [UNESP]
Sukotjo, Cortino
Ozevin, Didem
Mathew, Mathew
dc.subject.por.fl_str_mv Acoustic emission (AE)
Dental implants
Diagnostic methods
Tribocorrosion
Wear-corrosion synergisms
topic Acoustic emission (AE)
Dental implants
Diagnostic methods
Tribocorrosion
Wear-corrosion synergisms
description The use of dental implants is growing rapidly for the last few decades and Ti-based dental implants are a commonly used prosthetic structure in dentistry. Recently, the combined effect of corrosion and wear, called tribocorrosion, is considered as a major driving process in the early failure of dental implants. However, no previous study has reported the prediction of tribocorrosion processes in advance. Therefore, this study is a novel investigation on how the acoustic emission (AE) technique can predict tribocorrosion processes in commercially-pure titanium (cpTi) and titanium-zirconium (TiZr) alloys. In this study, tribocorrosion tests were performed under potentiostatic conditions and AE detection system associated with it captures AE data. Current evolution and friction coefficient data obtained from the potentiostatic evaluations were compared with AE absolute energy showcased the same data interpretation of tribocorrosion characteristics. Other AE data such as duration, count, and amplitude, matched more closely with other potentiostatic corrosion evaluations and delivered more promising results in the detection of tribocorrosion. Hence, AE can be consider as a tool for predicting tribocorrosion in dental implants. Experimental results also reveal Ti5Zr as one of the most appropriate dental implant materials while exposing Ti10Zr's lower effectiveness to withstand in the simulated oral environment.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T11:12:40Z
2021-06-25T11:12:40Z
2021-04-01
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://dx.doi.org/10.1016/j.msec.2021.112000
Materials Science and Engineering C, v. 123.
1873-0191
0928-4931
http://hdl.handle.net/11449/208467
10.1016/j.msec.2021.112000
2-s2.0-85101828024
url http://dx.doi.org/10.1016/j.msec.2021.112000
http://hdl.handle.net/11449/208467
identifier_str_mv Materials Science and Engineering C, v. 123.
1873-0191
0928-4931
10.1016/j.msec.2021.112000
2-s2.0-85101828024
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Materials Science and Engineering C
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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