Computational Modelling Group

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• Daniel Powell

I am currently in my third 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 and better understanding the physics behind how particles are separated will help to create more efficient separation systems.

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, Diffusion, Electromagnetism, Fluid Dynamics, Particle Collisions, Tribology, Turbulence

Algorithms and computational methods: Agents, Artificial Neural Networks, Distributed computing, Finite differences, Finite elements, Finite volume, Machine learning, Monte Carlo, Multi-core, Optimisation, Symbolic calculation

Simulation software: Ansys, Fluent, OpenFOAM

Visualisation and data handling software: Labview, Mayavi, ParaView, VTK

Software Engineering Tools: Continuous Integration, Emacs, Git, RStudio, Sublime Text, Vim, Visual Studio

Programming languages and libraries: C, C++, CUDA, Fortran, IPython/Jupyter Notebook, Matlab, MPI, OpenMP, Pandas, Python, R

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

Transdisciplinary tags: Computer Science, Data Science, Design, Education, HPC, NGCM, Scientific Computing, Software Engineering, Visualisation