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Multi-scale physical model simulation of particle filtration using computational fluid dynamics.
Journal of Environmental Management ( IF 8.7 ) Pub Date : 2020-07-08 , DOI: 10.1016/j.jenvman.2020.111021
Haochen Li 1 , John Sansalone 1
Affiliation  

Clarifiers integrating radial cartridge filtration (RCF) are a combined unit operation variant of millennia-old sedimentation-filtration systems. Similarly, RCF is a primarily horizontal flow variant with flow orthogonal to gravity and a radial velocity gradient, in contrast to traditional deep-bed vertical filtration. These granular filters function at lower finite granular Reynolds numbers. A proposed computational fluid dynamics framework, implementing the Navier-Stokes equations, couples a pore-scale filter model with a macroscopic scale sedimentation-filtration model to create a tool examining non-Brownian particle separation. Validation is conducted using previous physical testing from a full-scale sedimentation-filtration system under steady flow and particulate loads. Model results illustrate a two-zone filtration structure with respect to particle diameter, similar to vertical filtration. The computational tool predicts particulate matter separation of 86.1% compared to 87.8% for physical testing. The physical-based computational framework does not need high-level calibration as compared to analytical, lumped, or empirical models; conferring direct extensibility to similar unit operation systems. The novel multi-scale tool simulates particulate matter fate in a modern re-incarnation of a sedimentation-filtration unit operation. The tool functions as an adjuvant that complements regulatory or certification testing. The tool can provide guidance for design or maintenance as well as system management with respect to particle fate in, and breakthrough from, granular filters in a combined unit operation.



中文翻译:

使用计算流体动力学进行粒子过滤的多尺度物理模型模拟。

集成了径向滤芯过滤器(RCF)的澄清器是具有千年历史的沉淀-过滤系统的组合装置。类似地,与传统的深床垂直过滤相比,RCF是主要的水平流动变体,其流动与重力和径向速度梯度正交。这些粒度过滤器在较低的有限粒度雷诺数下起作用。一个拟议的计算流体动力学框架,实现了Navier-Stokes方程,将孔隙尺度过滤器模型与宏观尺度沉降过滤模型耦合在一起,从而创建了一种检查非布朗粒子分离的工具。验证是使用之前在稳定流量和颗粒负荷下,从大型沉降过滤系统进行的物理测试进行的。模型结果说明了相对于粒径的两区过滤结构,类似于垂直过滤。该计算工具预计颗粒物分离率为86.1%,而物理测试为87.8%。与分析模型,集总模型或经验模型相比,基于物理的计算框架不需要高级校准;赋予类似单元操作系统直接的可扩展性。这种新颖的多尺度工具可以模拟沉淀-过滤单元操作的现代化身中的颗粒物命运。该工具可作为佐剂,补充法规或认证测试。该工具可以为组合单元操作中颗粒过滤器中的颗粒命运和突破提供指导,以进行设计或维护以及系统管理。

更新日期:2020-07-08
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