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PolyWEC: New mechanisms and concepts for exploiting electroactive Polymers for Wave Energy Conversion |
Professor David Ingram
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Energy Systems |
Wave energy has a great potential as renewable source of electricity. Studies have demonstrated that significant percentage of world electricity could be produced by Wave Energy Converters (WECs). However electricity generation from waves still lacks of spreading because the combination of harsh environment and form of energy makes the technical development of cost effective WECs particularly difficult.
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SPADnet: Fully Networked, Digital Components for Photon-starved Biomedical Imaging Systems |
Dr Robert Henderson
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Integrated Micro and Nano Systems |
Single photon sensitive detectors for Positron Emission Tomography (PET).
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ACCA: Atmospheric Carbon Capture |
Professor Khellil Sefiane
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Multiscale Thermofluids |
Carbon emissions from fossil fuel combustion and change in land use are forcing a rapid increase in atmospheric CO2 levels leading to climate change. The initial implementation of plans to reduce the levels of CO2 is based on a combination of increased use of renewable energy and the implementation of carbon capture and storage from industrial sources and power plants on a wide scale.
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ThermaSMART |
Dr Prashant Valluri
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Integrated Micro and Nano Systems, Materials and Processes, Multiscale Thermofluids |
Project ThermaSMART is an international and intersectoral network of organisations working on a joint research programme in the area of phase-change cooling of high-power electronic devices.
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Powderblade (EU Project) |
Conchur O Bradaigh
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Materials and Processes |
Powderblade was a collaboration of The University of Edinburgh, Eirecomposites Teo, Suzlon Energy and WestBIC. It was a research and development project that used novel engineering methods to modernise the way large wind turbine blades are manufactured and installed.
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Signal Processing for a Networked Battlespace |
Professor Mike Davies
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Imaging, Data and Communications |
This research is carried out under the Unversity Defence Research Collaboration (UDRC) funded by the MOD and EPSRC.
The UDRC is a collaborative research project with the work being carried out by two Consortia. Edinburgh Consortium is made of the University of Edinburgh, Heriot-Watt University and The Queen's University of Belfast. LSSCN Consortium is made up of Loughborough University, University of Surrey, University of Strathclyde, Cardiff University and Newcastle University.
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Discrete Element Modeling of High-Speed Railway Embankment |
Prof. Xuecheng Bian
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Infrastructure and Environment |
The aim is to develop a new understanding of the micromechanics of railway trackbed subjected to dynamic loads induced by high speed trains. This should lead to safer design of high-speed railway systems which require less maintenance and, therefore, are more sustainable.
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Effect of particle shape, size and particle friction in granular solid flow in railway ballast |
Prof. Xuecheng Bian
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Infrastructure and Environment |
The aim is to develop a new understanding of the micromechanics of railway trackbed subjected to dynamic loads induced by high speed trains. This should lead to safer design of high-speed railway systems which require less maintenance and, therefore, are more sustainable.
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A multi-scale approach to characterising fluid contribution to conductive heat transfer in dense granular systems |
Prof. Jin Ooi
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Infrastructure and Environment |
For granular materials with low thermal conductivity heat transfer occurs through interstitial gases as well as through physical contacts. Existing particle based models are ill suited to dense systems so a multi-scale approach has been used to correlate the local packing structure to the gas contribution to conductive heat transfer in dense granular systems.
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DEM model calibration and validation for cohesive soil-machine interactions |
Prof. Jin Ooi
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Infrastructure and Environment |
The modelling of cohesive soils is a challenging task of great importance in many earth moving processes. In these cases, the understanding of the interaction soil-machine is vital to try to optimize the process and avoid problems. This project aims to investigate the capabilities of DEM cohesive contact models to capture with a sufficient level of accuracy the mechanical behaviours involved in soil-machine interactions.
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