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systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing modelling capabilities for the prediction of energy
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A funded PhD position is available at the ABCE, Loughborough University, offering the successful candidate the opportunity to join both the Loughborough Fluid Dynamics Group and the Leeds Turbidites
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overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
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hypothesis of the proposed research is by use of intelligent and integrated control of the input power electronics, fluid handling, and thermal control in a holistic approach, current efficiency and lifespan
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processes around fixed bottom offshore wind foundations, (2) Computational fluid dynamics modelling based on Lattice Boltzmann (LB) framework to simulate sediment transport surrounding offshore infrastructure
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experience in computational modelling. It will involve the use of open-source computational fluid dynamics codes, with turbulence modelling and porous media approaches. It will also require the development
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Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
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nanosheets, nanotubes, etc) or hybrid (e.g. boron carbon nitride). Similarly, while water is the most studied coolant liquid, realistic applications involve dielectric fluids (e.g. benzene, pentane). Molecular
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a first or second-class UK honours degree (or equivalent) in aerospace/mechanical engineering, physics, or a related field. Experience in numerical fluid dynamics is helpful but not essential
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, focusing on performance, operability, and dynamic behaviour (e.g. water hammer effects). Working closely with Rolls-Royce, your research will develop and validate models using real-world industrial data