| 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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Prathuru, Anil
Robert Gordon University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Machine learning approach to investigate high temperature corrosion of critical infrastructure materials.
- 2024Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysiscitations
- 2024Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes.
- 2024Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturingcitations
- 2024Acoustic emission wave propagation in pipeline sections and analysis of the effect of coating and sensor location.citations
- 2024Sustainable development goals and circularity in thermal spray coating manufacturing and value chain.
- 2024Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis.citations
- 2023Acoustic emission sensor-assisted process monitoring of air plasma-sprayed titanium deposition.citations
- 2023Machine learning model of acoustic signatures: towards digitalised thermal spray manufacturing.citations
- 2022Application of Thermal Spray Coatings in Electrolysers for Hydrogen Productioncitations
- 2022Investigating the influence of the core material on the mechanical performance of a nitinol wire wrapped helical auxetic yarncitations
- 2022Measuring Residual Strain and Stress in Thermal Spray Coatings Using Neutron Diffractometerscitations
- 2022Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities.citations
- 2022Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis.
- 2022Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunitiescitations
- 2022Application of Thermal Spray Coatings in Electrolysers for Hydrogen Production : Advances, Challenges, and Opportunitiescitations
- 2019Structural and residual strength analysis of metal-to-metal adhesively bonded joints.
Places of action
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article
Investigating the influence of the core material on the mechanical performance of a nitinol wire wrapped helical auxetic yarn
Abstract
<jats:p> Helical Auxetic Yarns (HAYs) can be used in a variety of applications from healthcare to blast and impact resistance. This work focuses on the effect of the use of different core materials (e.g. rubber, polyurethane, polytetrafluoroethylene/teflon, polypropylene, polyetheretherketone, polycarbonate, acetal) with a nitinol wire wrap component on the maximum Negative Poisson Ratio (NPR) produced and thus the auxetic performance of Helical Auxetic Yarns (HAYs). From the analytical model, it was found that an acetal core produced the largest NPR when compared to the other six materials. The trend obtained from the experimental tensile tests (validation) correlated closely with the theoretical predictions of the NPR as axial strain was increased. The experimental method presented a maximum NPR at an average axial strain of 0.148 which was close to the strain of 0.155 predicted by theory. However, the maximum experimental NPR was significantly lower than that predicted by the analytical model. </jats:p>