Volume fraction allocation using characteristic points for coupled CFD-DEM calculations

doi:10.16511/j.cnki.qhdxxb.2017.25.028

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Abstract The coupled CFD-DEM method has been widely used for multiphase flows where the fluid volume fraction links the continuous medium (fluid) and the discrete medium (particles). This paper presents an improved volume fraction allocation algorithm based on the traditional SKM (statistical kernel method) model with subdividing of the characteristic points. Spatially distributed characteristic points within the region influenced by a particle mark all the CFD cells influenced by the particle so that the particle volume is correctly decomposed into each CFD cell. A traditional grid search algorithm then recognizes the characteristic points. After calibration of the model parameters, the algorithm reduces the truncation error at inner boundaries in parallel computing models. Numerical tests show that the algorithm is effective and efficient when the particle diameter size D and the CFD cell size L are of the same order of magnitude. The model reverts to the traditional unresolved particle model for L >> D and to the resolved particle model for D >> L. The algorithm improves coupled CFD-DEM calculations having a wide range of particle diameters to improve solid-liquid two-phase flow simulations.

Keywords CFD-DEM coupling volume fraction subdividing characteristic points parallel calculation computational efficiency

ZTFLH:

TV143+.1

Issue Date: 15 July 2017

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	LIU Detian
	FU Xudong
	WANG Guangqian

Cite this article:

LIU Detian,FU Xudong,WANG Guangqian. Volume fraction allocation using characteristic points for coupled CFD-DEM calculations[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(7): 720-727.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.25.028 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I7/720

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