A novel CFD-DEM coarse-graining method based on the Voronoi tessellation
A novel CFD-DEM coarse-graining method based on the Voronoi tessellation
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DOI：
10.1016/j.powtec.2021.02.025
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发表时间：
2021-03-03
影响因子：
5.2
通讯作者：
Smith，Edward R.
中科院分区：
文献类型：
--
作者：
Che，Hanqiao;O'Sullivan，Catherine;Smith，Edward R.
在未解析的流CFD-DEM模拟中，使用粗粒化算法确定每个CFD单元的孔隙度值。虽然这种方法能够耦合模拟的代表性数量的颗粒，孔隙度的影响，局部的颗粒上的流体-颗粒相互作用力没有捕获。这种贡献认为，两个网格粗粒化方法，确定每个粒子的局部孔隙度使用一个激进的Voronoi镶嵌的系统。使用相对精细的规则点云将这些局部孔隙度数据映射到CFD单元。使用两种不同的情况下，考虑分散和紧密堆积的颗粒的方法进行评估。数据表明，该方法保存孔隙度数据，是合理的网格无关，并可以产生一个相对平滑的孔隙度场。新方法可以更准确地预测多分散颗粒系统的流体-颗粒相互作用力比替代方法，已实现在未解决的CFD-DEM代码。
In unresolved flow CFD-DEM simulations, the porosity values for each CFD cell are determined using a coarse-graining algorithm. While this approach enables coupled simulations of representative numbers of particles, the influence of the porosity local to the particles on the fluid-particle interaction force is not captured. This contribution considers a two-grid coarse-graining method that determines a local porosity for each particle using a radical Voronoi tessellation of the system. A relatively fine, regular point cloud is used to map these local porosity data to the CFD cells. The method is evaluated using two different cases considering both disperse and tightly packed particles. The data show that the method conserves porosity data, is reasonably grid-independent and can generate a relatively smooth porosity field. The new method can more accurately predict the fluid-particle interactive force for polydisperse particle system than alternative methods that have been implemented in unresolved CFD-DEM codes.