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Algorithms in a Robust Hybrid CFD-DEM Solver for Particle-Laden Flows

Published online by Cambridge University Press:  20 August 2015

Heng Xiao  and
Jin Sun
Heng Xiao*
Affiliation:
Institute of Fluid Dynamics, ETH Zürich, 8092 Zürich, Switzerland
Jin Sun*
Affiliation:
Institute of Fluid Dynamics, ETH Zürich, 8092 Zürich, Switzerland
*
Corresponding author.Email:xiaoh@ethz.ch
Email:j.sun@ed.ac.uk
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Abstract

A robust and efficient solver coupling computational fluid dynamics (CFD) with discrete element method (DEM) is developed to simulate particle-laden flows in various physical settings. An interpolation algorithm suitable for unstructured meshes is proposed to translate between mesh-based Eulerian fields and particle-based La-grangian quantities. The interpolation scheme reduces the mesh-dependence of the averaging and interpolation procedures. In addition, the fluid-particle interaction terms are treated semi-implicitly in this algorithm to improve stability and to maintain accuracy. Finally, it is demonstrated that sub-stepping is desirable for fluid-particle systems with small Stokes numbers. A momentum-conserving sub-stepping technique is introduced into the fluid-particle coupling procedure, so that problems with a wide range of time scales can be solved without resorting to excessively small time steps in the CFD solver. Several numerical examples are presented to demonstrate the capabilities of the solver and the merits of the algorithm.

Keywords

47.55.Kf47.57.GcFluid-particle interactionparticle-laden flowdiscrete element methodcomputational fluid dynamicshybrid model
Type
Research Article
Information
Communications in Computational Physics , Volume 9 , Issue 2 , February 2011 , pp. 297 - 323
Copyright
Copyright © Global Science Press Limited 2011

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