Multi-scale structure of clustering particles
Multi-scale structure of clustering particles
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DOI：
10.1016/j.powtec.2007.07.003
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发表时间：
2005-10
影响因子：
5.2
通讯作者：
T. Tsuji;Akihito Ito;Toshitsugu Tanaka
中科院分区：
文献类型：
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作者：
T. Tsuji;Akihito Ito;Toshitsugu Tanaka
利用三维非定常数值模拟获得的流场数据，研究了颗粒团的空间尺度特性。采用双向耦合的欧拉/拉格朗日方法，并采用硬球确定性模型考虑单个粒子间的碰撞。在最大的情况下，超过一千六百万个粒子被跟踪。结果表明，粒子团是由多个空间尺度组成的，波数较低，大尺度结构占主导地位。从低通滤波数据重建的三维结构使我们能够详细研究粒子团簇的基本动力学。从畴尺寸依赖性的研究中发现，当采用周期性边界条件时，颗粒团的结构对水平畴尺寸敏感。
Spatial scale characteristics of particle clusters are investigated by using the flow field data obtained from time-dependent three-dimensional numerical simulations. Eulerian/Lagrangian approach with two-way coupling is adopted and individual particle–particle collisions are taken into account by using the hard-sphere deterministic model. More than sixteen million particles are tracked in the maximum case. The results show that the particle cluster consists of multiple-spatial scale components and a low wave number, hence the large-scale structure, is dominant. Three-dimensional structure reconstructed from the low-pass filtered data enables us to investigate the essential dynamics of particle clusters in detail. From the domain size-dependency study, it is found that the structure of particle cluster is sensitive to the horizontal domain size when the periodic boundary condition is used.