@Article{CiCP-9-297,
author = {Heng Xiao and Jin Sun},
title = {Algorithms in a Robust Hybrid CFD-DEM Solver for Particle-Laden Flows},
journal = {Communications in Computational Physics},
year = {2011},
volume = {9},
number = {2},
pages = {297--323},
abstract = {<p style="text-align: justify;">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 Lagrangian
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.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.260509.230210a},
url = {http://global-sci.org/intro/article_detail/cicp/7501.html}
}