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Modelling gas turbine based power generation system incorporating CCS technology School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes Application Deadline: Applications accepted all year...
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Low cost, energy efficient biomethane production from landfill gas or biogas School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof W Nimmo, Prof Lin Ma Application Deadline: Applications accepted all year...
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Fatigue and Fracture of Fibre Composites School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr C Pinna Application Deadline: Applications accepted all year round Details Aircraft manufacturers are now competing based on their aircraft’s fuel efficiency due to...
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to Computational Fluid Dynamics (CFD) for the prediction of ash deposition inside power plant equipment under bio-CCS conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry
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the wind farm to reduce the turbine wake effects and maximize the wind farm power output. Advanced mathematical and computational fluid dynamics modeling techniques will be employed with supplementary
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of the aerodynamics of the turbine blades which have a significant impact on the efficiency of power generation, the level of noise produced and the durability of the wind turbine. Advanced computational fluid dynamics
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on and closely linked to existing research on the aerodynamics of the wind turbines. Advanced computational fluid dynamics modeling techniques will be employed to analyse the aerodynamic response
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and computational modelling. A failed pitch bearing raceway will be destructively investigated to characterise the surface and subsurface damages using optical microscopy (OM) and scanning electron