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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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Praeger, Matthew
University of Southampton
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2021Laser Induced Backwards Transfer (LIBT) of graphene onto glass
- 2020Microscale deposition of 2D materials via laser induced backwards transfer
- 2020Automated 3D labelling of fibroblasts and endothelial cells in SEM-imaged placenta using deep learningcitations
- 2019Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning
- 2017The effects of water on the dielectric properties of aluminum based nanocompositescitations
- 2017On the effect of functionalizer chain length and water content in polyethylene/silica nanocomposites: Part II – Charge Transportcitations
- 2017On the effect of functionalizer chain length and water content in polyethylene/silica nanocompositescitations
- 2017The effects of water on the dielectric properties of silicon based nanocompositescitations
- 2016Supporting data for "The effects of water on the dielectric properties of silicon based nanocomposites"
- 2015The effects of surface hydroxyl groups in polyethylene-silica nanocomposites
- 2014Dielectric studies of polystyrene-based, high-permittivity composite systemscitations
- 2014Effect of water absorption on dielectric properties of nano-silica/polyethylene compositescitations
- 2014A simple theoretical model for the bulk properties of nanocomposite materialscitations
- 2014Barium titanate and the dielectric response of polystyrene-based composites
- 2013A dielectric spectroscopy study of the polystyrene/nanosilica model system
- 2013Nano-Silica Filled Polystyrene: Correlating DC Breakdown Strength and Particle Agglomeration.
- 2013The breakdown strength and localised structure of polystyrene as a function of nanosilica fill-fraction
- 2012Fabrication of nanoscale glass fibers by electrospinningcitations
Places of action
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conferencepaper
Nano-Silica Filled Polystyrene: Correlating DC Breakdown Strength and Particle Agglomeration.
Abstract
In the field of polymer dielectrics nano-fillers have attracted a great deal of academic interest since they potentially allow significant modifications of material properties to be made. Despite the high levels of interest, no clear picture has yet emerged because results in the literature show considerable variability. Difficulties in achieving highly uniform nano-filler dispersal are perhaps the main driving force for this variability and have also hampered the adoption of nano-fillers for industrial scale applications. In this work we correlate the results from two analysis techniques in order to deepen our understanding of the action of nano-fillers in polymer dielectrics. Nano-composites were produced with filler fractions ranging from 0 – 10 %. The filler is composed of fused silica particles with a typical size of 20 nm and the matrix material is polystyrene. Polystyrene was chosen because its amorphous matrix provides a relatively simple and uniform background on which to study the action of the nano-particles. Alternative polymers which may crystallise or exhibit lamella type structures add additional layers of complexity to the study which could obscure the effect of the nano-particles. Firstly, we show the DC breakdown strength of the composites as a function of filler fraction. Secondly, samples undergo permanganic etching and are then imaged by a Scanning Electron Microscope. The SEM images of the etched surfaces reveal, as a function of filler fraction, the degree of agglomeration that has occurred. Combining these two data sets brings new insight to the action of the nano-filler within our model system as it allows the DC breakdown strength results to be interpreted in light of the agglomeration data.