| People | Locations | Statistics |
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| 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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Machado, Miguel A.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2024Evaluation of self-sensing material behaviourcitations
- 2024Microscale channels produced by micro friction stir channeling (μFSC)citations
- 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
- 2023Granting Sensorial Properties to Metal Parts through 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
- 2021Benchmarking of Nondestructive Testing for Additive Manufacturingcitations
- 2019Contactless high-speed eddy current inspection of unidirectional carbon fiber reinforced polymercitations
- 2019Evaluation of Different Non-destructive Testing Methods to Detect Imperfections in Unidirectional Carbon Fiber Composite Ropescitations
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.