Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Instituto Politecnico de Setubal

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024Evaluation of self-sensing material behaviour3citations
  • 2024Enabling electrical response through piezoelectric particle integration in AA2017-T451 aluminium parts using FSP technology4citations
  • 2023Self-sensing metallic material based on piezoelectric particles6citations
  • 2023Granting Sensorial Properties to Metal Parts through Friction Stir Processing16citations
  • 2023Aluminium-Based Dissimilar Alloys Surface Composites Reinforced with Functional Microparticles Produced by Upward Friction Stir Processing12citations
  • 2023Particles’ distribution enhancing in aluminum-based composites produced by upward friction stir processing11citations
  • 2023Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applications8citations
  • 2023Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applications8citations

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Chart of shared publication
Machado, Miguel A.
6 / 11 shared
Meireles, Afonso
1 / 1 shared
Vidal, Catarina
8 / 25 shared
Carvalho, Marta
4 / 6 shared
Vilaça, Pedro
3 / 36 shared
Sorger, Gonçalo
3 / 8 shared
Caçador, David
1 / 1 shared
Farias, Francisco Werley Cipriano
1 / 14 shared
Carvalho, Marta S.
2 / 5 shared
Figueiredo, Arthur Ribeiro
1 / 3 shared
Silva, Rui J. C.
2 / 71 shared
Santos, Telmo G.
2 / 62 shared
Moreira, Filipe
1 / 1 shared
Ferreira, Francisco B.
1 / 4 shared
Inácio, Patrick L.
1 / 11 shared
Meneses, Pedro
1 / 1 shared
Santiago, Duarte
1 / 1 shared
Vaz Pinto, Joana
1 / 12 shared
Deuermeier, Jonas
2 / 38 shared
Pinto, Joana Vaz
1 / 3 shared
Chart of publication period
2024
2023

Co-Authors (by relevance)

  • Machado, Miguel A.
  • Meireles, Afonso
  • Vidal, Catarina
  • Carvalho, Marta
  • Vilaça, Pedro
  • Sorger, Gonçalo
  • Caçador, David
  • Farias, Francisco Werley Cipriano
  • Carvalho, Marta S.
  • Figueiredo, Arthur Ribeiro
  • Silva, Rui J. C.
  • Santos, Telmo G.
  • Moreira, Filipe
  • Ferreira, Francisco B.
  • Inácio, Patrick L.
  • Meneses, Pedro
  • Santiago, Duarte
  • Vaz Pinto, Joana
  • Deuermeier, Jonas
  • Pinto, Joana Vaz
OrganizationsLocationPeople

document

Self-sensing metallic material based on piezoelectric particles

  • Ferreira, Pedro M.
  • Machado, Miguel A.
  • Vidal, Catarina
  • Carvalho, Marta
Abstract

Structural parts' integrity should remain as specified and designed, although it can change due to ageing and use by environmental action and accidental events. Structural parts design is carried out considering certain service conditions that can be different from operating conditions. These parts often experience dynamic solicitations that change in amplitude and frequency over time, which may cause the part's failure. The part's real condition can be assessed by Structural Health Monitoring systems, which grant significant social, economic, and environmental impact, as they can reduce maintenance costs and ensure the integrity of the part and its surroundings. This can be performed with an integrated monitoring system comprising sensors, on the surface or embedded, into the components. However, surface sensors are subject to damage, from collisions and/or environmental action, and embedding sensors can be very challenging and may result in a weakened part. A Self-Sensing Material (SSM) was developed based on piezoelectric particles embedded in metal parts by a solid-state processing technology. The material can act as a sensor and continuously monitor its condition. The SSM's generates an electrical voltage signal when subject to strain stimulus. Moreover, the solid-state processing technology employed promotes mechanical properties enhancement in the processed zone, not only by the grain size reduction but also due to the incorporation of the piezoelectric particles. The response to a set of dynamic loads was assessed and was found to be coherent with the solicitations applied.

Topics
  • impedance spectroscopy
  • surface
  • grain
  • grain size
  • aging