Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
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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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:29462024-08-05T23:27:17.655792Repositório 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 |
|
_version_ |
1808129522676006912 |