Computational Fluid Dynamics (CFD)
The
availability of advanced commercial Computational Fluid Dynamics (CFD)
software and of faster computer processors have revolutionised
scientific research in the field of multi-phase flow. CFD has become an
indispensable tool, for researchers and engineers alike, in solving
many complex problems of academic and industrial interest in areas such
as fluidization.
The
Group has developed a Fluidization CFD Laboratory comprising 14 fast
processors machines and in addition has access to the largest computing
facility available in UK, the UCL LEGION supercomputer, providing 42.9
TeraFlops, representing the equivalent strength of approximately 2,700
desktop systems.
All
model developments are implemented in state-of-the-art commercial CFD
codes, work is undertaken using both the CFX and FLUENT codes by Ansys.
Mono-size and Binary Fluidized Suspensions
The
research of the Group focuses on the development
and validation of advanced Eulerian-Eulerian mathematical models for
the computer simulation of gas-solid and liquid-solid fluidized beds
across different flow regimes. A new Eulerian model and new closure
relationship for the fluid-particle interaction have been developed for
the simulation of mono-size fluidized suspensions and for the
simulation of mixing and segregation of binary mixtures of industrial
rutile powders. For the latter,the role of the particle-particle drag force
and the effect of the collisional stress on the dynamics of the binary system have also
been investigated.
Polydisperse Fluidized Suspensions
In
collaboration with the Politecnico of Turin, the Group is currently
developing a CFD model for poly-disperse multiphase systems, where the
solid particles constituting the disperse phase are characterized by a very wide size distribution and/or by
particle with varying particle size. The evolution of the solid phases
is modelled by using a generalized population balance equation (GPBE)
solved with sophisticated direct quadrature/and quadrature method of moments (DQMOM and QMOM).
Numerical Methods
New
research has recently started in collaboration with the Computational
Physics Group of the Earth Science and Engineering Department at Imperial College London to
investigate different numerical methods for the solution of the
momentum balance equations for fluidized bed systems.
(Created 20 November
2007, last updated 20 February 2009)
|