Sensorial properties assessment in metallic parts with piezoelectric particles

Detalhes bibliográficos
Autor(a) principal: Caçador, José David Fernandes
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/163864
Resumo: Predictive maintenance through a condition-based continuous monitoring perspective is a predominant matter in Structural Health Monitoring (SHM). This can be achieved by using embedded sensors (ESs) in structures’ metal matrices or through surface sensors (SSs). These last are exposed to external environmental conditions that can be quite severe, damaging sensors and compromising their functionality. For this reason, there has been an increasing interest in researching ESs and their inherent manufacturing processes by the scientific community. These sensors use smart materials to convert external stimuli into electrical output signals. In the last few years, much effort has been dedicated to assess the possibility of incorpo- rating these materials in metal matrix components. However, conventional manufacturing processes are associated with high processing temperatures due to the fusion of base material. For this reason, solid-state processing techniques have been studied to allow the production of smart materials. The Research and Development Unit for Mechanical and Industrial Engineering (UNIDEMI) of NOVA School of Science and Technology used Friction Stir Processing (FSP) for the first time to incorporate piezoelectric particles in a work-hardened alu- minium alloy AA5083-H111, thus creating a self-sensing material. The purpose of this dissertation was to assess the sensorial properties granted to different heat-treated alu- minium alloys, namely AA2017-T451 and AA7075-T651, through the incorporation of Lead Zirconate Titanate (PZT) and Barium Titanium Oxide (BTO) piezoelectric particles, and perform its characterization and comparison between the sensorial properties obtained to AA5083-H111. Experimental results of this endeavour demonstrated that processing with different heat-treated aluminium alloys did not compromise the sensorial behaviour of the SSMs. However, the sensorial characterisation of the produced SSMs revealed that the obtained sensitivities are lower than those obtained for the AA5083-H111.
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spelling Sensorial properties assessment in metallic parts with piezoelectric particlesSmart MaterialsFriction Stir Processing (FSP)SensorsStructural Health Monitoring (SHM)Piezoelectric ParticlesDomínio/Área Científica::Engenharia e Tecnologia::Engenharia MecânicaPredictive maintenance through a condition-based continuous monitoring perspective is a predominant matter in Structural Health Monitoring (SHM). This can be achieved by using embedded sensors (ESs) in structures’ metal matrices or through surface sensors (SSs). These last are exposed to external environmental conditions that can be quite severe, damaging sensors and compromising their functionality. For this reason, there has been an increasing interest in researching ESs and their inherent manufacturing processes by the scientific community. These sensors use smart materials to convert external stimuli into electrical output signals. In the last few years, much effort has been dedicated to assess the possibility of incorpo- rating these materials in metal matrix components. However, conventional manufacturing processes are associated with high processing temperatures due to the fusion of base material. For this reason, solid-state processing techniques have been studied to allow the production of smart materials. The Research and Development Unit for Mechanical and Industrial Engineering (UNIDEMI) of NOVA School of Science and Technology used Friction Stir Processing (FSP) for the first time to incorporate piezoelectric particles in a work-hardened alu- minium alloy AA5083-H111, thus creating a self-sensing material. The purpose of this dissertation was to assess the sensorial properties granted to different heat-treated alu- minium alloys, namely AA2017-T451 and AA7075-T651, through the incorporation of Lead Zirconate Titanate (PZT) and Barium Titanium Oxide (BTO) piezoelectric particles, and perform its characterization and comparison between the sensorial properties obtained to AA5083-H111. Experimental results of this endeavour demonstrated that processing with different heat-treated aluminium alloys did not compromise the sensorial behaviour of the SSMs. However, the sensorial characterisation of the produced SSMs revealed that the obtained sensitivities are lower than those obtained for the AA5083-H111.A manutenção preditiva com base na monitorização contínua da condição de estruturas é um tema recorrente em Structural Health Monitoring (SHM). Este tipo de manutenção é assegurado através da utilização de sensores embutidos na matriz metálica das estruturas, apesar de também poderem ser colocados superficialmente nas mesmas. Neste último caso, os sensores encontram-se expostos às condições externas que podem ser bastante severas ao ponto de os danificarem, comprometendo a sua funcionalidade. Por este motivo, o recurso a sensores embutidos, assim como os processos de fabrico inerentes, têm vindo a ser vastamente estudados pela comunidade científica. O funcio- namento destes sensores baseia-se na utilização de smart materials que são capazes de converter estímulos externos aplicados à estrutura em sinais elétricos. Nos últimos anos, vários estudos têm sido realizados para avaliar a possibilidade de incorporação destes materiais em componentes de matriz metálica. Contudo, os processos de fabrico convencionais estão associados a elevadas temperaturas de processamento decorrentes da fusão do material base. Neste sentido, diversas técnicas de processamento no estado sólido têm vindo a ser estudadas para permitir a produção dos smart materials. A Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Indus- trial (UNIDEMI), da NOVA School of Science and Technology | FCT NOVA, utilizou pela primeira vez o Processamento por Fricção Linear (FSP) para incorporar partículas piezoelétricas numa liga de alumínio endurecida por trabalho mecânico AA5083-H111, criando assim um material autossensível. Esta dissertação pretendeu avaliar as proprie- dades sensoriais obtidas em ligas de alumínio tratadas termicamente, nomeadamente a AA2017-T451 e a AA7075-T651, através da incorporação de partículas piezoelétricas de Titanato Zirconato de Chumbo (PZT) e Titanato de Bário (BTO), e proceder à sua respetiva caracterização e comparação com as propriedades sensoriais da liga AA5083-H111. Os resultados experimentais demonstraram que o processamento com ligas de alu- mínio tratadas termicamente não comprometeu o comportamento sensorial dos SSMs. Contudo, a sua caracterização sensorial revelou que as sensibilidades obtidas são inferiores às obtidas para a liga AA5083-H111.Vidal, CatarinaRUNCaçador, José David Fernandes2024-02-21T11:50:29Z2023-112023-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/163864enginfo: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:RCAAP2024-03-11T05:49:23Zoai:run.unl.pt:10362/163864Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:54.448427Repositório 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 Sensorial properties assessment in metallic parts with piezoelectric particles
title Sensorial properties assessment in metallic parts with piezoelectric particles
spellingShingle Sensorial properties assessment in metallic parts with piezoelectric particles
Caçador, José David Fernandes
Smart Materials
Friction Stir Processing (FSP)
Sensors
Structural Health Monitoring (SHM)
Piezoelectric Particles
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica
title_short Sensorial properties assessment in metallic parts with piezoelectric particles
title_full Sensorial properties assessment in metallic parts with piezoelectric particles
title_fullStr Sensorial properties assessment in metallic parts with piezoelectric particles
title_full_unstemmed Sensorial properties assessment in metallic parts with piezoelectric particles
title_sort Sensorial properties assessment in metallic parts with piezoelectric particles
author Caçador, José David Fernandes
author_facet Caçador, José David Fernandes
author_role author
dc.contributor.none.fl_str_mv Vidal, Catarina
RUN
dc.contributor.author.fl_str_mv Caçador, José David Fernandes
dc.subject.por.fl_str_mv Smart Materials
Friction Stir Processing (FSP)
Sensors
Structural Health Monitoring (SHM)
Piezoelectric Particles
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica
topic Smart Materials
Friction Stir Processing (FSP)
Sensors
Structural Health Monitoring (SHM)
Piezoelectric Particles
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica
description Predictive maintenance through a condition-based continuous monitoring perspective is a predominant matter in Structural Health Monitoring (SHM). This can be achieved by using embedded sensors (ESs) in structures’ metal matrices or through surface sensors (SSs). These last are exposed to external environmental conditions that can be quite severe, damaging sensors and compromising their functionality. For this reason, there has been an increasing interest in researching ESs and their inherent manufacturing processes by the scientific community. These sensors use smart materials to convert external stimuli into electrical output signals. In the last few years, much effort has been dedicated to assess the possibility of incorpo- rating these materials in metal matrix components. However, conventional manufacturing processes are associated with high processing temperatures due to the fusion of base material. For this reason, solid-state processing techniques have been studied to allow the production of smart materials. The Research and Development Unit for Mechanical and Industrial Engineering (UNIDEMI) of NOVA School of Science and Technology used Friction Stir Processing (FSP) for the first time to incorporate piezoelectric particles in a work-hardened alu- minium alloy AA5083-H111, thus creating a self-sensing material. The purpose of this dissertation was to assess the sensorial properties granted to different heat-treated alu- minium alloys, namely AA2017-T451 and AA7075-T651, through the incorporation of Lead Zirconate Titanate (PZT) and Barium Titanium Oxide (BTO) piezoelectric particles, and perform its characterization and comparison between the sensorial properties obtained to AA5083-H111. Experimental results of this endeavour demonstrated that processing with different heat-treated aluminium alloys did not compromise the sensorial behaviour of the SSMs. However, the sensorial characterisation of the produced SSMs revealed that the obtained sensitivities are lower than those obtained for the AA5083-H111.
publishDate 2023
dc.date.none.fl_str_mv 2023-11
2023-11-01T00:00:00Z
2024-02-21T11:50:29Z
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