Clustering of inertial particles in turbulent flow through a porous unit cell

Clustering of inertial particles in turbulent flow through a porous unit cell
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通过多孔晶胞的湍流中惯性粒子的聚集

DOI:
10.1017/jfm.2022.100
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发表时间:
2022
影响因子:
3.7
通讯作者:
Schneider, Kai
Schneider, Kai
中科院分区:
工程技术2区
文献类型:
--
作者:
Apte, Sourabh V.;Oujia, Thibault;Matsuda, Keigo;Kadoch, Benjamin;He, Xiaoliang;Schneider, Kai

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采用直接数值模拟方法研究了在不同Stokes数()和孔雷诺数为500时,面心立方多孔单胞受限几何结构中湍流对细颗粒输运、聚集和沉积的影响。粒子使用单向耦合推进,粒子与孔壁的碰撞被建模为具有镜面反射的完全弹性。用于研究惯性粒子动力学和聚类均匀流的工具进行了调整,以考虑到嵌入式,弯曲的孔壁几何形状。聚类的模式和动力学研究使用Voronoi镶嵌的体积变化的时间来分析的发散和收敛的粒子。类似的情况下,均匀的,各向同性的湍流,集群的形成是目前在大体积,而集群的破坏是突出的小体积,这些影响与斯托克斯数放大。然而,不像均匀的,各向同性的湍流,形成了大量的非常小的体积观察到在所有的斯托克斯数,并归因于颗粒与孔壁的碰撞。粒子数密度的多尺度小波分析表明,能量密度谱的峰值,代表增强的粒子聚类,向更大的尺度与斯托克斯数的增加。尺度相关的偏斜度和平坦度量化的间歇性空隙和集群分布,与集群的形成观察到在小尺度的所有斯托克斯数,和大尺度的大斯托克斯数的空隙区域。
Direct numerical simulation is used to investigate effects of turbulent flow in the confined geometry of a face-centred cubic porous unit cell on the transport, clustering and deposition of fine particles at different Stokes numbers () and at a pore Reynolds number of 500. Particles are advanced using one-way coupling and the collision of particles with pore walls is modelled as perfectly elastic with specular reflection. Tools for studying inertial particle dynamics and clustering developed for homogeneous flows are adapted to take into account the embedded, curved geometry of the pore walls. The pattern and dynamics of clustering are investigated using the volume change of Voronoi tesselation in time to analyse the divergence and convergence of the particles. Similar to the case of homogeneous, isotropic turbulence, the cluster formation is present at large volumes, while cluster destruction is prominent at small volumes and these effects are amplified with the Stokes number. However, unlike homogeneous, isotropic turbulence, the formation of a large number of very small volumes was observed at all Stokes numbers and attributed to the collision of particles with the pore wall. Multiscale wavelet analysis of the particle number density indicates that the peak of the energy density spectrum, representative of enhanced particle clustering, shifts towards larger scales with an increase in the Stokes number. Scale-dependent skewness and flatness quantify the intermittent void and cluster distribution, with cluster formation observed at small scales for all Stokes numbers, and void regions at large scales for large Stokes numbers.
DOI: 10.1103/physrevfluids.6.064304
发表时间: 2020-07
期刊: arXiv: Fluid Dynamics
影响因子: --
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