Publicação
Granting Sensorial Properties to Metal Parts through Friction Stir Processing
| 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 |
| _version_ | 1868982889619652608 |
|---|---|
| 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/a868973e-0e7a-40c3-a529-a941b605857d/download |
| funder_facet_str_mv | FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID |
| id | run_1325d0c2b980decfd2f5c4e769dc3e6a |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/147039 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/147039 |
| organization_str_mv | urn:organizationAcronym:unl |
| 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 |
| reponame_str | Repositório Institucional da UNL |
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| service_str_mv | urn:repositoryAcronym:run |
| 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 |
| visible | 1 |