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researcher with a strong interest in computational fluid dynamics (CFD), to join a diverse and inclusive research group. The Advanced Numerical Methods (ANM) Group specialises in cutting-edge research and
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paid . The successful candidate will receive a tax free stipend of at least £19,237 per annum. This PhD will develop a multi-fidelity model of a thermal hydraulics problem, combining 2D/3D CFD (only
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CFD modelling and advanced burner designs Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian, Prof L Ma, Prof Derek Ingham Application Deadline
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Computational Fluid Dynamics (CFD) model of Origen’s system, coupled with advanced AI techniques, with the aim of further developing and optimising its efficiency. In particular, the project aims to model
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CFD Study of Wind Turbine Aerodynamics Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian, Prof L Ma, Prof Derek Ingham Application Deadline: Applications
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and accurate simulation of complex explosion events in large and geometrically complex environments. The student will use existing CFD techniques in OpenFOAM to conduct deflagration analyses and apply
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, based on a population balance model, will be developed for the prediction of crystal size distribution, which will be integrated with a Computational Fluid Dynamics (CFD) software (e.g. ANSYS Fluent
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thermodynamic processes in future engines with net zero fuels Advanced numerical (CFD) and experimental techniques for the study of reacting flows. Following completion of a taught MRes in Future Propulsion in
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? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics? We have a vacancy for an
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procedures. Necessary qualifications include a PhD in a relevant subject area. Candidates must demonstrate experience in computational fluid dynamics (CFD), finite element analysis (FEA), and/or fluid