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About the Project
Good understanding and reliable prediction have been developed for the general behaviour of the boundary layer over a flat plate and simple internal (channel/pipe) flows. However practical engineering and environmental flows are generally much more complex than these canonical flows, involving significant ‘non-equilibrium’ processes, which remain very challenging to predict, making the design of flow and aerodynamic systems to be still largely empirical.
The purpose of this project is to develop new insight and modelling methodology for boundary layers subjected to a favourable or adverse pressure gradient frequently encountered in practical engineering flows. The study will be extending new theories that we have recently established on transient turbulent flow and flow re-laminarisation (See J. Fluid Mech., He & Seddighi, 2013 & 2015).
The work will include revising the direct numerical simulation (DNS) computer code developed in the group for the simulation of boundary layer flows and performing simulations of a number of typified flows to develop new understanding of the physics of such flows, hence providing foundations for better simulation of complex flows as well as research into flow control and drag reduction.
The purpose of this project is to develop new insight and modelling methodology for boundary layers subjected to a favourable or adverse pressure gradient frequently encountered in practical engineering flows. The study will be extending new theories that we have recently established on transient turbulent flow and flow re-laminarisation (See J. Fluid Mech., He & Seddighi, 2013 & 2015).
The work will include revising the direct numerical simulation (DNS) computer code developed in the group for the simulation of boundary layer flows and performing simulations of a number of typified flows to develop new understanding of the physics of such flows, hence providing foundations for better simulation of complex flows as well as research into flow control and drag reduction.
Funding Notes
1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline.
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