Centre for Computational Fluid Dynamics

FACULTY OF ENGINEERING

 

The CFD web site is no longer maintained. Information may be out of date and links may be broken.

 

ADVANCED POWER GENERATION AND AERO-ENGINES


(Funding source and collaborators: EPSRC, EU, DH, Industrial )

Phil King CFD PhD Student

Phillip King pmptk@leeds.ac.uk

Research Interest: CFD Modelling of Gas Turbine Combustion Chambers
Supervisor: Mohamed Pourkashanian

Khaled Almohammadi

Khaled Almohammadi ml07kma@leeds.ac.uk

Research Interest: Optimisation of Vertical Axis Wind Turbine
Supervisors: Lin Ma, Derek Ingham, Mohamed Pourkashanian

Mohammed Degereji

Mohammed Usman Degereji pmmud@leeds.ac.uk

Research Interest: Numerical Particle Tracking in Combustion Boilers
Supervisors: Mohamed Pourkashanian, Lin Ma, Alan Williams, Derek Ingham

Combustion of pulverised fuel remains the dominant process in the energy generation sector. Understanding particle behaviour in a high temperature situation, such as a boiler situation, is complex but important in order to optimize the combustion processes. CFD modelling is one of the modern techniques used in investigating such a difficult phenomenon. Particle slagging and fouling in boilers are identified as major problems in coal fired power stations. Modelling particle deposition processes in boilers will enhance our understanding of boiler related problems.

This research work intends to develop a numerical model that will predict the ash particles deposition rate in a pulverized fuel boiler. When fully developed, the model will be validated using available experimental data. So far, the gas phase temperature and velocity profiles for the Australian Coal have been established using the combustion codes available in FLUENT 12.0 software. The Australian Coal Industries Research Laboratories (ACIRL) vertically fired furnace has been modelled and employed in the calculations. A source code using the C - Programming language is being developed.

Gasser Hassan CFD PhD Student

Gasser Hassan pregh@leeds.ac.uk

Research Interest: Computational Fluid Dynamics in Industrial and Environmental Applications
Supervisor: Mohamed Pourkashanian

Personal Web Page

Mohamed Sharif Lawal CFD postgraduate research student

Mohamed Sharif Lawal M.S.Lawal07@leeds.ac.uk

Research Interest: Numerical Modelling and Optimisation of Combustion in Burners and Flares
Supervisor: Lin Ma

The growing public concern for sustainability and industrial pollution has led to a renewed research interest in monitoring the condition and optimising the performance of combustion devices, ranging from gas turbine combustors to burners used in oil and gas installations. In this study, computational fluid dynamics (CFD) as a research and design tool is employed, to quantify and reduced emissions (UBHC, CO, CO2, and NOx) from hydrocarbon fuel combustion. The numerical methods include the use of advanced turbulence and combustion models in order to validate predicted results with data from experiments and field study. The study is relevant in optimising the combustion processes in various industrial burners and flares, fuel-mixing enhancement prior to injection into combustion chambers, as well as improving film-cooling in gas turbine combustors.

Tatyana Stanko

Tatyana Stanko pmtss@leeds.ac.uk

Research Interest: Modelling a Sound Radiated by a Turbulent Jet
Supervisor: Mike Fairweather

The research is focused on the CFD modelling of aerodynamic noise generated by reacting hot jets and non reacting hot/cold turbulent jets. The CFD code FLUENT is used to model the aerodynamic flow as well as for noise calculations. The main advantage of using CFD is a low cost of computational prediction in comparison with complicated experimental investigations. Besides the CFD simulations provide detailed information on aerodynamic sources at every point in space what is not possible to obtain form the experimental measurements. The accuracy of the noise prediction highly depends on the accuracy of the turbulence model applied. During research different turbulence and acoustic models are studied for case and accuracy of acoustic phenomena predictions, with special consideration on Large Eddy Simulation (LES) turbulence model and Ffowcs Williams-Hawkings acoustic model. Centre of attention will be put certainly on improving predictions for noise emissions.

Ilona Uryga-Bugajska

Ilona Uryga-Bugajska pmiu@leeds.ac.uk

Research Interest: Modelling of Biofuels
Supervisor: Mohamed Pourkashanian

The research is focused on the CFD modelling of alternative fuels combustion in gas turbine’s combustion chamber. To model the process CFD code Fluent is being used. The main advantage of using CFD is a low cost of computational prediction in comparison with complicated experimental investigations. During research different turbulence and combustion model are studied for case and accuracy of combustion phenomena predictions, with special consideration on Large Eddy Simulation (LES) model in near future. Centre of attention will be put certainly on improving predictions for emissions.

Wei Huang

Wei Huang prewhu@leeds.ac.uk

Research Interest: Airframe/engine integrated design of hypersonic waverider vehicles in near-space and CFD predictions of its flying performance
Supervisor: Mohamed Pourkashanian, Lin Ma, Derek Ingham

My research interests lies in the design of hypersonic vehicles, multidisciplinary design optimization, computational fluid dynamics, hypersonic propulsion techniques and the shcramjet engine.

As one of the most important techniques in the research of hypersonic vehicles, the airframe/engine integrated design has drawn the attention of many researchers. Its key techniques include the forebody/inlet integration, the optimization of the combustor geometry and the nozzle/afterbody integration.

  When the vehicle cruises for a long time at a high altitude, a higher lift-to-drag ratio is required. At the moment, more and more researchers are paying attention to hypersonic waverider vehicles because of its benefits in the aerodynamic performance, and the hypersonic waverider vehicle has been the new research focus in the field of space aerocraft for the future.

Dr Lin Ma

Lin Ma
BSc, MSc, PhD
Senior Research Fellow
Tel: +44 (0)113 343 2481
Fax: +44(0)113 246 7310
L.Ma@leeds.ac.uk

personal webpage

Dr Kevin Hughes

Dr Kevin Hughes
BSc, PhD (Leicester)
Senior Research Fellow
Telephone: +44 (0)113 343 2481
Fax: +44(0)113 246 7310
K.J.Hughes@leeds.ac.uk

Prof Derek Ingham

Prof Derek Ingham
BSc, PhD, DSc (Leeds), CMath, FIMA
Professor in Applied Mathematics
Tel: +44 (0)113 343 5113
Fax: +44 (0)113 246 7310
d.b.ingham@leeds.ac.uk

Prof Alan Williams

Emeritus Professor Alan Williams, CBE
BSc, PhD, CChem, FRSC, CEng, FInstE, FInstPet, FIGasE, FRSA, FREng.
Tel: +44 (0)113 343 2507
Fax: +44 (0)113 246 7310
fueaw@leeds.ac.uk

Mike Fairweather

Professor Michael Fairweather
BSc, PhD, Leeds, EurIng, CEng, MIChemE, MEI, MIMechE, CPhys, MInstP
Professor of Thermofluids and Combustion
Tel: +44 (0)113 343 2419
Fax: +44 (0)113 343 2405
m.fairweather@leeds.ac.uk

personal webpage

Gordon Andrews

Professor Gordon Andrews
BSc, PhD (Leeds), CEng, MIMechE, MASME, FInstE, FInstDGTE
Tel: +44 (0)113 343 2493
Fax: +44 (0)113 246 7310
g.e.andrews@leeds.ac.uk

mohamed pourkashanian

Professor MC Pourkashanian
MSc, PhD (Leeds)
Professor in High Temperature Combustion Processes

Tel: +44 (0)113 343 2512
Fax: +44 (0)113 246 7310
fue6mtz@leeds.ac.uk