Simulations of Mixing Fluids

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From rotating impellers stirring air into a liquid, to a turbulent jet entering a moving flow, mixing processes are essential to almost every industrial application you can think of. Omar Matar and his research group at Imperial College London are experts in running numerical simulations to model mixing in multiphase flows. Here, we see examples of mixing in stirred tanks, mixing through droplet collisions, and mixing at interfaces.

Research by Omar Matar at Imperial College London. Interview with University of Oxford Mathematician Dr Tom Crawford.

This video is part of a collaboration between FYFD and the Journal of Fluid Mechanics featuring a series of interviews with researchers from the APS DFD 2017 conference.

Sponsored by FYFD, the Journal of Fluid Mechanics, and the UK Fluids Network. Produced by Tom Crawford and Nicole Sharp with assistance from A.J. Fillo.

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Featuring: O. Matar et al. "Multiphase three-dimensional direct numerical simulation of a rotating impeller with BLUE"

The flow driven by a rotating impeller inside an open fixed cylindrical cavity is studied numerically using the code BLUE, a solver for massively parallel simulations of fully three-dimensional multiphase flows. The impeller is composed of four blades at a 45 degree inclination all attached to a central hub and tube stem. In BLUE, solid forms are constructed by means of a module for the definition of immersed objects via a distance function that takes into account the object’s interaction with the flow for both single and two-phase flows. This distance function is positive in the fluid phase and negative in the solid and we use a moving frame technique for imposing translation and/or rotation. The variation of the Reynolds number, the clearance and the aspect ratio (interface height versus the tank radius) will be considered in this study but we will highlight the importance of the confinement ratio (blade radius versus the tank radius) in the mixing process. BLUE is wholly written in Fortran 2003 and uses a domain decomposition strategy for parallelization with MPI. The fluid interface solver is based on a parallel implementation of a hybrid Front Tracking/Level Set method designed to handle highly deforming interfaces with complex topology changes. Parallel GMRES and multigrid iterative solvers are applied to the linear systems arising from the implicit solution for the fluid velocities and pressure in the presence of strong density and viscosity discontinuities across fluid phases.

Publication:
Andrew W. Russell, Lyes Kahouadji, Karan Mirpuri, Andrew Quarmby, Patrick M. Piccione, Omar K. Matar, Paul F. Luckham, Christos N. Markides,
Mixing viscoplastic fluids in stirred vessels over multiple scales: A combined experimental and CFD approach, Chemical Engineering Science, Volume 208, 2019, 115129, ISSN 0009-2509,

Special thanks to:
Nicole Sharp
A. J. Fillo
Omar Matar
Aditya Karnik
Lyes Kahouadji
Lachlan Mason
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Oh I think dr Karoly Zsolnai Feher (2 minute papers) would love to see this stuff.

SanneBerkhuizen
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Currently, doing my masters research project simulating multiphase flow over a plate in a distillation column. Love seeing CFD research and all the simulations. I hope no one else goes through the pain of leaving a simulation to run overnight, only to realise you forgot to add gravity.

monsterhunter
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U should use Reynolds number if it's bigger than 5*10^5 it's turbulent!
I am a mechanical engineer from Iran love ur channel!
Even they can even model heat transfer by using staton number!

Farhad--
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I love this stuff! Crazy math behind it but hey, most cool physics stuff does have that:) You know I'm a fan Tom.

SirIsaacTheRed
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Great video, as a CFD engineer I find these types of things very interesting. And a great university :p

petelee
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Can you please give the reference for the first clip showing the planar laser induced fluoresces of a jet in stratified crossed flow.

omriram