Computational Modelling Group

Daniel Powell

Position
Postgraduate Research Student
Institution
Engineering Sciences (FEE)
E-mail
dp8g13@soton.ac.uk
Contact
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I am currently in my first year of an iPhD programme with the NGCM (Next Generation Computational Modelling) group and I am part of the Aerodynamics and Flight Mechanics group. My research project involves modelling the deposition and dynamics of particles in small, high-speed cyclones with my industry partner Dyson. Cyclones are a way of separating fine dust from air without the use of filters or moving parts. Optimising their efficiency (how well they can remove particulates from air) is of critical importance to reduce energy consumption and to achieve the desired level of performance.

This project will first involve the development of an Eulerian model for the particles in a highly-swirling flow with particular attention paid at the boundary layer. This means that particles will not be considered individually but as a density field which will massively reduce the computational cost of simulations. The effects of near-wall behaviour (boundary layers) on the particles heavily influences the rate and patterns of deposition and therefore a very high mesh resolution will need to be implemented at these locations during CFD simulations.

The model will then implement tribo-electric phenomena using experimental evidence to produce a complete picture of how fine particles behave. These forces drive particle conglomeration and separation; resulting in a varied particle size distribution. The sizes of the individual particles impact on their trajectories and therefore prediction of these tribo-electric interactions is necessary to produce an accurate model.

I completed my undergraduate in Aeronautics and Astronautics at the University of Southampton in 2016. During this time, I completed my dissertation on particle deposition on wavy walls, designed a microlight (light aircraft) and designed and built a UAV. I have also worked previously in research for Dyson in separation systems on cyclones.

Research Interests

Physical Systems and Engineering simulation: CFD, Fluid Dynamics, Turbulence

Algorithms and computational methods: Finite differences, Finite elements, Finite volume, Monte Carlo, Optimisation

Simulation software: Ansys, Fluent, OpenFOAM

Visualisation and data handling software: Labview

Software Engineering Tools: Git, Sublime Text

Programming languages and libraries: C, IPython/Jupyter Notebook, Matlab, Python

Computational platforms: Iridis, Linux, Lyceum, Mac OS X, VirtualBox, Windows

Transdisciplinary tags: HPC, NGCM, Scientific Computing

Working with...

John Shrimpton
Professor, Engineering Sciences (FEE)