Exponential scaling in early-stage agglomeration of adhesive particles in turbulence
Exponential scaling in early-stage agglomeration of adhesive particles in turbulence
复制标题
DOI：
10.1103/physrevfluids.4.024304
复制
发表时间：
2019-02-26
影响因子：
2.7
通讯作者：
Marshall, Jeffrey S.
中科院分区：
文献类型：
--
作者：
Chen, Sheng;Li, Shuiqing;Marshall, Jeffrey S.
本文采用直接数值模拟和粘接离散元法计算（DNS-DEM）对均匀各向同性湍流（HIT）中粒子的聚集进行了研究。我们报告了早期团聚体尺寸分布的指数形式缩放，这在广泛的颗粒惯性和颗粒间粘附值范围内是有效的。这种缩放允许人们使用单个缩放参数来量化团聚状态。然后构造包含团块结构信息和粘接概率信息的团块核。通过对迎面碰撞方程的标度分析，提出了粘着概率与微粒特性之间的明确关系。我们的结果将Smoluchowski的理论扩展到非聚结的固体粘接颗粒的条件下，并可以用简单的一维模拟再现DNS-DEM结果。
We carry out direct numerical simulation together with an adhesive discrete element method calculation (DNS-DEM) to investigate agglomeration of particles in homogeneous isotropic turbulence (HIT). We report an exponential-form scaling for the size distribution of early-stage agglomerates, which is valid across a wide range of particle inertia and interparticle adhesion values. Such scaling allows one to quantify the state of agglomeration using a single scale parameter. An agglomeration kernel is then constructed containing the information of agglomerate structures and the sticking probability. An explicit relationship between the sticking probability and microscale particle properties is also proposed based on the scaling analysis of the equation for head-on collisions. Our results extend Smoluchowski's theory to the condition of noncoalescing solid adhesive particles and can reproduce DNS-DEM results with a simple one-dimensional simulation.