Statistics of particle diffusion subject to oscillatory flow in a porous bed
Statistics of particle diffusion subject to oscillatory flow in a porous bed
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多孔床中振荡流下颗粒扩散的统计
DOI：
10.1016/j.ces.2020.116239
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发表时间：
2021
影响因子：
4.7
通讯作者：
Chivers, Thomas
中科院分区：
文献类型：
--
作者：
Marshall, Jeffrey S.;Arnold, Chloe;Curran, Kelly;Chivers, Thomas
对多孔床内颗粒在振荡流作用下的扩散进行了实验研究。颗粒响应于振荡流而在多孔床内上下振荡，但也在不同持续时间的时间间隔内间歇性地被卡住。振荡流和多孔床对颗粒运动的随机阻碍的组合导致了被称为振荡扩散的扩散过程。各种统计措施被用来表征振荡流下的颗粒扩散。这些措施表明，实验数据表现出的经典扩散过程以及振荡过程的特点。粒子滞留时间被认为是很好的拟合对数正态分布的所有实验情况下检查。一个简单的随机模型，捕捉的振荡扩散过程的关键特征，产生的统计措施，以及与实验数据比较。
An experimental study was conducted of particle diffusion within a porous bed when exposed to oscillatory flow. The particle oscillates up and down within the porous bed in response to the oscillatory flow, but also becomes intermittently stuck for time intervals of varying duration. The combination of oscillating flow and random hindering of the particle motion by the porous bed leads to a diffusive process calledoscillatory diffusion. A variety of statistical measures are used to characterize the particle diffusion under the oscillatory flow. These measures show that the experimental data exhibit characteristics of both classical diffusive processes as well as oscillatory processes. The particle hold-up time duration was found to be well fit by a log-normal distribution for all experimental cases examined. A simple stochastic model that captures the key features of the oscillatory diffusion process is shown to yield statistical measures that compare well with experimental data.
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DOI：
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影响因子：
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