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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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Harrison, Christopher
DNV GL (Germany)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2023A study of lanthanum nickelate cathodes for employment in solid oxide fuel cells
- 2022Changes in hyperglycaemia-related testing for prediabetes and type 2 diabetes mellitus management: a prospective, cross-sectional survey of 16 years of general practice data from Australiacitations
- 2019Computer-controlled electromagnetic control and image capture system for alignment of magnetic graphene nanofillers in epoxy compositescitations
- 2018The effects of composite laminate stiffness and loading on stress resultant concentration factor around a holecitations
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article
Computer-controlled electromagnetic control and image capture system for alignment of magnetic graphene nanofillers in epoxy composites
Abstract
Although polymer nanocomposites have attracted much attention, their bulk application is limited due to poor manufacturing scalability while maintaining organized microstructures. Active assembly of nanoparticles using magnetic fields is a promising nano-manufacturing method, as it allows control of alignment direction, is inexpensive, non-damaging, scalable and allows organization of fillers by inter-particle motions. This paper describes the design of an automated image capture and magnetic control system to study the alignment of magnetic graphene nanoparticles in an epoxy matrix by applying a low magnetic field (∼100 mT) and by the automatic image capture of magnetization effects through an optical microscope. This system can continuously observe the alignment process, providing more accurate information about the behavior of the nanoparticle orientation compared to a manual method that only allowed observation of the sample after the experiment had been conducted. A better understanding of nanoparticle alignment could lead to the development of composites with oriented carbon-based nanoparticle structures.