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PhD Studentship: Improved Heat Transfer Understanding via Conjugate Heat Transfer, Co-Simulation and AI Approaches Research has shown that the development of gas turbines is critical to the success
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the modern flow engineering technology. Major issues are the undesired increase of wall friction and wall-heat transfer when the flow becomes turbulent, which impacts directly on the performance
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5th May 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Experimental Fluid Mechanics and Heat Transfer – Leidenfrost
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parameters, underlying material geometry and process environment). • Integrating process-dependent transferred arc energy distributions into an improved heat source model for FEA simulations. • Creating an FEA
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research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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working towards advancing the modelling capabilities of geothermal systems and contribute to the following objectives: Investigating fluid flow and heat transfer in geothermal systems under high-pressure
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manage heat generation, ensuring optimal operating temperatures and prolonging device lifespan. Sustainable System Design: Create intelligent systems that incorporate renewable energy sources and energy
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environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map