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Granting Sensorial Properties to Metal Parts through Friction Stir Processing

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Resumo:Structural Health Monitoring systems assess the part's current condition. This can be performed with a monitoring system comprising sensors, on the surface or embedded, in the monitored parts. However, surface sensors are subject to damage, and embedding the sensors may result in a weakened part. An innovative Self-Sensing Material and its manufacturing process were developed and are presented herein. As proof of concept, Barium Titanate particles were introduced and dispersed into an AA5083-H111 part by Friction Stir Processing (FSP). The particles’ distribution and concentration was evaluated by a set of characterization techniques, demonstrating that greater concentrations, grant enhanced sensitivity to the material. The use of FSP and the embedded particles improved the part’s mechanical behaviour in the processed zone. The sensorial properties were assessed and the response to a set of dynamic loads was measured, being coherent with the solicitations provided. The developed self-sensing material revealed an electrical sensitivity of 12.0 × 10-4 uV/MPa.
Autores principais:Ferreira, Pedro M.
Outros Autores:Machado, Miguel A.; Carvalho, Marta S.; Vidal, Catarina
Assunto:Self-sensing material Piezoelectric particles Solid-state processing technology Friction Stir Processing Structural health monitoring
Ano:2023
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
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author Ferreira, Pedro M.
author2 Machado, Miguel A.
Carvalho, Marta S.
Vidal, Catarina
author2_role author
author
author
author_facet Ferreira, Pedro M.
Machado, Miguel A.
Carvalho, Marta S.
Vidal, Catarina
author_role author
contributor_name_str_mv DEMI - Departamento de Engenharia Mecânica e Industrial
UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
Elsevier Science B.V., Amsterdam.
RUN
country_str PT
creators_json_txt [{\"Person.name\":\"Ferreira, Pedro M.\"},{\"Person.name\":\"Machado, Miguel A.\"},{\"Person.name\":\"Carvalho, Marta S.\"},{\"Person.name\":\"Vidal, Catarina\"}]
datacite.contributors.contributor.contributorName.fl_str_mv DEMI - Departamento de Engenharia Mecânica e Industrial
UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
Elsevier Science B.V., Amsterdam.
RUN
datacite.creators.creator.creatorName.fl_str_mv Ferreira, Pedro M.
Machado, Miguel A.
Carvalho, Marta S.
Vidal, Catarina
datacite.date.Accepted.fl_str_mv 2023-02-01T00:00:00Z
datacite.date.available.fl_str_mv 2023-01-05T22:17:51Z
datacite.date.embargoed.fl_str_mv 2023-01-05T22:17:51Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Self-sensing material
Piezoelectric particles
Solid-state processing technology
Friction Stir Processing
Structural health monitoring
datacite.titles.title.fl_str_mv Granting Sensorial Properties to Metal Parts through Friction Stir Processing
dc.contributor.none.fl_str_mv DEMI - Departamento de Engenharia Mecânica e Industrial
UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
Elsevier Science B.V., Amsterdam.
RUN
dc.creator.none.fl_str_mv Ferreira, Pedro M.
Machado, Miguel A.
Carvalho, Marta S.
Vidal, Catarina
dc.date.Accepted.fl_str_mv 2023-02-01T00:00:00Z
dc.date.available.fl_str_mv 2023-01-05T22:17:51Z
dc.date.embargoed.fl_str_mv 2023-01-05T22:17:51Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10362/147039
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Self-sensing material
Piezoelectric particles
Solid-state processing technology
Friction Stir Processing
Structural health monitoring
dc.title.fl_str_mv Granting Sensorial Properties to Metal Parts through Friction Stir Processing
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Structural Health Monitoring systems assess the part's current condition. This can be performed with a monitoring system comprising sensors, on the surface or embedded, in the monitored parts. However, surface sensors are subject to damage, and embedding the sensors may result in a weakened part. An innovative Self-Sensing Material and its manufacturing process were developed and are presented herein. As proof of concept, Barium Titanate particles were introduced and dispersed into an AA5083-H111 part by Friction Stir Processing (FSP). The particles’ distribution and concentration was evaluated by a set of characterization techniques, demonstrating that greater concentrations, grant enhanced sensitivity to the material. The use of FSP and the embedded particles improved the part’s mechanical behaviour in the processed zone. The sensorial properties were assessed and the response to a set of dynamic loads was measured, being coherent with the solicitations provided. The developed self-sensing material revealed an electrical sensitivity of 12.0 × 10-4 uV/MPa.
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funder_facet_str_mv FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia
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funding.funder.identifier_str_mv http://doi.org/10.13039/501100001871
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funding.funder.name_str_mv Fundação para a Ciência e a Tecnologia
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funding.name_str_mv 6817 - DCRRNI ID
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person_str_mv Ferreira, Pedro M.
Machado, Miguel A.
Carvalho, Marta S.
Vidal, Catarina
publishDate 2023
repo_facet_str urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL
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spelling engenStructural Health Monitoring systems assess the part's current condition. This can be performed with a monitoring system comprising sensors, on the surface or embedded, in the monitored parts. However, surface sensors are subject to damage, and embedding the sensors may result in a weakened part. An innovative Self-Sensing Material and its manufacturing process were developed and are presented herein. As proof of concept, Barium Titanate particles were introduced and dispersed into an AA5083-H111 part by Friction Stir Processing (FSP). The particles’ distribution and concentration was evaluated by a set of characterization techniques, demonstrating that greater concentrations, grant enhanced sensitivity to the material. The use of FSP and the embedded particles improved the part’s mechanical behaviour in the processed zone. The sensorial properties were assessed and the response to a set of dynamic loads was measured, being coherent with the solicitations provided. The developed self-sensing material revealed an electrical sensitivity of 12.0 × 10-4 uV/MPa.application/pdfenGranting Sensorial Properties to Metal Parts through Friction Stir ProcessingFerreira, Pedro M.Machado, Miguel A.Carvalho, Marta S.Vidal, CatarinaDEMI - Departamento de Engenharia Mecânica e IndustrialUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialElsevier Science B.V., Amsterdam.HostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf0263-2241URNIsPartOfPURE: 49789079URNIsPartOfPURE UUID: 8c96f0c5-aebe-467a-9060-1ab68c2ec401URNIsPartOfcrossref: 10.1016/j.measurement.2022.112405URNIsPartOfORCID: /0000-0002-7622-847X/work/125919054URNIsPartOfScopus: 85145263376URNIsPartOfWOS: 000914457600001DOIIsPartOf10.1016/j.measurement.2022.1124052023-01-05T22:17:51Z2023-02-012023-02-01T00:00:00ZHandlehttp://hdl.handle.net/10362/147039http://purl.org/coar/access_right/c_abf2open accessSelf-sensing materialPiezoelectric particlesSolid-state processing technologyFriction Stir ProcessingStructural health monitoring15881118 bytesFundação para a Ciência e a TecnologiaResearch and Development Unit for Mechanical and Industrial Engineering6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaDesenvolvimento de componentes estruturais inteligentes auto-monitorizados.provisórioCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/a868973e-0e7a-40c3-a529-a941b605857d/download
spellingShingle Granting Sensorial Properties to Metal Parts through Friction Stir Processing
Ferreira, Pedro M.
Self-sensing material
Piezoelectric particles
Solid-state processing technology
Friction Stir Processing
Structural health monitoring
status SINGLETON
subject.fl_str_mv Self-sensing material
Piezoelectric particles
Solid-state processing technology
Friction Stir Processing
Structural health monitoring
title Granting Sensorial Properties to Metal Parts through Friction Stir Processing
title_full Granting Sensorial Properties to Metal Parts through Friction Stir Processing
title_fullStr Granting Sensorial Properties to Metal Parts through Friction Stir Processing
title_full_unstemmed Granting Sensorial Properties to Metal Parts through Friction Stir Processing
title_short Granting Sensorial Properties to Metal Parts through Friction Stir Processing
title_sort Granting Sensorial Properties to Metal Parts through Friction Stir Processing
topic Self-sensing material
Piezoelectric particles
Solid-state processing technology
Friction Stir Processing
Structural health monitoring
topic_facet Self-sensing material
Piezoelectric particles
Solid-state processing technology
Friction Stir Processing
Structural health monitoring
url http://hdl.handle.net/10362/147039
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