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Bill Papapostolou

Using computational fluid dynamics to investigate fuel ignition.

Email: v.s.papapostolu1@ncl.ac.uk

Supervisors

Project description

Fuel efficiency and reduced emissions are ever important challenges. We are investigating fuel ignition in a variety of forms. such as premixed, inhomogeneous, and droplets. Fuel type, the ratio of fuel to air, and local turbulent conditions govern ignition and combustion. They hold the key towards improving future spark ignition engines, which will be in use until well after 2050.

We are using a computational fluid dynamic approach to investigate the underlying physics. Computational fluid dynamics investigates the flow of fluids by solving the governing equations. It offers invaluable insights into complex phenomena such as combustion. Such insights are extremely hard to achieve in experiments.

This study will make use of Direct Numerical Simulation (DNS). DNS provides numerical solutions to the Navier-Stokes equations. The solutions are high fidelity and do not need to apply turbulence models. DNS evaluates turbulent flows. It resolves all temporal and spatial scales of turbulence, from Kolmogorov to integral length scales. Thus, it is the most accurate method of studying turbulent reacting flows. Using DNS, it is possible to perform ‘numerical experiments’. Thus, we are able to extract information and data which would not be feasible to obtain from an experiment. This allows for a more detailed understanding of the phenomena. The only significant drawback of DNS is its computational cost when compared to other computational fluid dynamic methods.

Publications

Interests

Combustion modelling, Blockchain and cryptocurrency.

Qualifications

  • Bachelors Degree in Mechanical Engineering from Newcastle University