| 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
Granting Sensorial Properties to Metal Parts through Friction Stir Processing
Abstract
Structural Health Monitoring systems assess the part's current condition. This can be performed with a monitoring system comprising sensors, on the surface or embedded, in the monitored parts. However, surface sensors are subject to damage, and embedding the sensors may result in a weakened part. An innovative Self-Sensing Material and its manufacturing process were developed and are presented herein. As proof of concept, Barium Titanate particles were introduced and dispersed into an AA5083-H111 part by Friction Stir Processing (FSP). The particles’ distribution and concentration was evaluated by a set of characterization techniques, demonstrating that greater concentrations, grant enhanced sensitivity to the material. The use of FSP and the embedded particles improved the part’s mechanical behaviour in the processed zone. The sensorial properties were assessed and the response to a set of dynamic loads was measured, being coherent with the solicitations provided. The developed self-sensing material revealed an electrical sensitivity of12.0 × 10-4 uV/MPa.