论文标题

一种基于Voronoi Tessellation的新型CFD-DEM粗粒方法

A Novel CFD-DEM Coarse-Graining Method Based on the Voronoi Tessellation

论文作者

Che, Hanqiao, O'Sullivan, Catherine, Sufian, Adnan, Smith, Edward

论文摘要

在未解决的流量CFD-DEM模拟中,使用粗粒算法确定每个CFD细胞的孔隙率值。虽然这种方法可实现代表性颗粒数量的耦合模拟,但未捕获粒子对颗粒对流体粒子相互作用力的影响。该贡献考虑了一种两网格的粗粒方法,该方法使用系统的自由基伏罗尼式细节来确定每个粒子的局部孔隙率。相对细的常规点云用于将这些局部孔隙率数据映射到CFD单元格。考虑分散和紧密堆积的颗粒,使用两种不同的病例评估该方法。数据表明,该方法可以保守孔隙率数据,它是与网格无关的,并且可以产生相对光滑的孔隙率场。与在未解决的CFD-DEM代码中实现的替代方法相比,新方法可以更准确地预测多分散粒子系统的流体粒子相互作用。

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.

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