| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Vidal, Catarina
Universidade Nova de Lisboa
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (25/25 displayed)
- 2024Investigating the effects of printing temperatures and deposition on the compressive properties and density of 3D printed polyetheretherketonecitations
- 2024Evaluation of self-sensing material behaviourcitations
- 2024Investigation of Friction Stir Welding of Additively Manufactured Biocompatible Thermoplastics Using Stationary Shoulder and Assisted Heatingcitations
- 2024Enabling electrical response through piezoelectric particle integration in AA2017-T451 aluminium parts using FSP technologycitations
- 2024Mechanical behavior of friction stir butt welded joints under different loading and temperature conditionscitations
- 2023Self-sensing metallic material based on piezoelectric particlescitations
- 2023Investigating the effects of printing temperatures and deposition on the compressive properties and density of 3D printed polyetheretherketonecitations
- 2023Granting Sensorial Properties to Metal Parts through Friction Stir Processingcitations
- 2023Aluminium-Based Dissimilar Alloys Surface Composites Reinforced with Functional Microparticles Produced by Upward Friction Stir Processingcitations
- 2023Particles’ distribution enhancing in aluminum-based composites produced by upward friction stir processingcitations
- 2023Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applicationscitations
- 2023Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applicationscitations
- 2022Functionalized material production via multi-stack Upward Friction Stir Processing (UFSP)citations
- 2021Friction stir processing and welding technologies
- 2021A new approach to assess delamination in drilling carbon fibre-reinforced epoxy composite materialscitations
- 2019Metallographic and morphological characterization of sub-surface friction stirred channels produced on AA5083-H111citations
- 2017Effect of Microstructure on the Fatigue Behavior of a Friction Stirred Channel Aluminium Alloycitations
- 2015Characterisation of fatigue fracture surfaces of friction stir channelling specimens tested at different temperaturescitations
- 2014Role of friction stir channel geometry on the fatigue behaviour of AA5083-H111 at 120°C and 200°Ccitations
- 2014Fatigue behaviour at elevated temperature of friction stir channelling solid plates of AA5083-H111 aluminium alloycitations
- 2014Modelling microstructural effects on the mechanical behaviour of a friction stirred channel aluminium alloycitations
- 2014Fatigue assessment of friction stir channelscitations
- 2013Metallographic characterization of friction stir channelscitations
- 2012Mechanical characterization of friction stir channels under internal pressure and in-plane bendingcitations
- 2009Fatigue behaviour in friction stir welded joints of AA2024 treated by improvement techniques
Places of action
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article
Self-sensing metallic material based on PZT particles produced by friction stir processing envisaging structural health monitoring applications
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.