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
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Silva, Rui J. C.
2 / 71 shared
Santos, Telmo G.
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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

article

Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applications

  • Vaz Pinto, Joana
  • Vilaça, Pedro
  • Ferreira, Pedro M.
  • Sorger, Gonçalo
  • Machado, Miguel A.
  • Deuermeier, Jonas
  • Vidal, Catarina
  • Carvalho, Marta
Abstract

Structural Health Monitoring (SHM) of metal parts is becoming increasingly important in structural applications. However, embedding real-time sensors such as fibre Bragg gratings and piezoceramics can negatively impact the mechanical properties of the hosting metal part. To address this issue, a new Self-Sensing Material (SSM) based on lead zirconate titanate (PZT) micro-particles has been developed. Through Friction Stir Processing, PZT micro-particles were embedded in aluminium parts, and their impact on the metal parts electrical and mechanical properties was assessed. Another approach was to embed barium titanate (BT) micro-particles in metal parts. The impact of PZT particles in aluminium parts was compared to SSM based on BT particles in this study. The SSM based on PZT particles showed a higher sensitivity than the SSM based on BT particles and processed aluminium. The inclusion of PZT particles improved the mechanical strength and decreased the electrical conductivity of the aluminium parts. The SSM based on PZT particles had a sensibility of 18.0×10−4μV/MPa and could detect solicitations with different frequencies, with the best performance observed under low-frequency solicitations. Additionally, EBSD, EDS, XRD and XPS analysis confirmed the existence of the PZT particles in aluminium parts. These results are promising and guarantee an increase in sensorial properties and the ability to self-monitor metal parts.

Topics
  • impedance spectroscopy
  • inclusion
  • x-ray diffraction
  • x-ray photoelectron spectroscopy
  • aluminium
  • strength
  • Energy-dispersive X-ray spectroscopy
  • electron backscatter diffraction
  • electrical conductivity
  • Barium