Numerical simulation of the filtration process in fibrous filters using CFD-DEM method

Yue, Chang; Zhang, Quan; Zhai, Zhiqiang

doi:10.1016/j.jaerosci.2016.08.004

Cited by 70 publications

(17 citation statements)

References 32 publications

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“…They keep the porosity of the model consistent with that of the actual material. But they didn't take the thickness of the actual material into consideration (Qian et al, 2013;Qian et al, 2014;Yue et al, 2016). In this article, the thickness of the model with 47 layers is 0.496 mm, which is almost consistent with the actual material.…”

Section: Contact Xuedong Liusupporting

confidence: 54%

Investigating the filtration behavior of metal fiber felt using CFD-DEM simulation

Liu

Ding

Chen

et al. 2019

Engineering Applications of Computational Fluid Mechanics

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This paper studies the dynamic filtration behavior of coal particles in metal fiber felt, by developing a three-dimensional model based on microstructure and arrangement mode of metal fiber felt identified by scanning electron microscope. Discrete element method (DEM) is coupled with Computational fluid dynamics (CFD) to simulate filtration of coal particles in metal fiber felt. The simulation mainly studies the moving trail and deposition characteristics of spherical coal particles. The results demonstrated that coal particles can bypass the metal fibers and enter the inside of the metal fiber felt through mesh channels. The moving trail of coal particles is similar to a broken line. It is also shown that most coal particles are trapped due to the deep filtration of metal fiber felt and the distribution pattern of them is inhomogeneous. The number of particles trapped by metal fiber felt is reduced in the direction of thickness. It is found that coal particles can be trapped not only by randomly arranged metal fibers, but also by coal particles deposited previously. Finally, the kinetic energy loss of coal particles mainly occurs in the initial stage when particles pass through metal fiber felt. And the velocity of coal particles inside metal fiber felt is maintained at 0.15-0.25 m/s. Highlights • A more realistic three-dimensional model was reconstructed according to scanning electron microscope pictures. • The particle trajectory, deposition mode of particle groups and speed change of particles were investigated using CFD-DEM in the paper. • The simulation method was validated by the experiment.

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Section: Contact Xuedong Liusupporting

confidence: 54%

Investigating the filtration behavior of metal fiber felt using CFD-DEM simulation

Liu

Ding

Chen

et al. 2019

Engineering Applications of Computational Fluid Mechanics

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“…They showed that particles were initially captured by the bers. The ltration process led to blockage by deposited particles which increased the resistance (Yue, et al, 2016). Agranovski and Shapiro studied the clogging process due to dust particles in wet and dry lters.…”

Section: Introductionmentioning

confidence: 99%

CFD and Laboratory Studies of Dust Cleaning Efficacy of an Efficient Four Stage Non-Clogging Impingement Filter for Flooded-Bed Dust Scrubbers

Kumar

Gupta

Schafrik

2021

Preprint

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Fibrous-type filters are used to capture dust particles in mining and other occupations where personnel are exposed for prolonged periods. Dust cleansing systems including flooded-bed dust scrubbers use these mesh-type multi-layered filters. These filters trap dust particles efficiently on their surface and inside their mesh. However, their continued operation leads to dust build-up and subsequent clogging. This results in increased resistance of the filter and lowered airflow rate through the scrubber. This could potentially enhance the exposure of the miners. A non-clogging self-cleaning impingement screen type dust filter was designed by the authors for use in mining and industrial dust cleansing applications. The filter guides dirt-laden air through rapidly turning paths which forces it to shed heavier particles. The particles impact one of the impermeable solid metallic filter surfaces and are removed from the airstream. A full cone water spray installed upstream prevents any surface build-up of dust. This paper summaries the computer models generated to show the filter operations and laboratory experiments including optical particle counting to establish the cleaning efficiency.

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“…The discrete element method (DEM) provides means to resolve granular motions at the particle level, describe the dynamic cake formation process, and study the effects of size/shape distributions and other particle properties. Coupling DEM with computational fluid dynamics (CFD) allows solid-liquid interactions to be and offers means to study flow behavior in porous and granular media induced by particle geometry (Kloss et al, 2012; Qian et al, 2014; Yue et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Predicting the performance of pressure filtration processes by coupling computational fluid dynamics and discrete element methods

Dobosz

Zhang

et al. 2019

Chemical Engineering Science

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To obtain a fundamental understanding of the various factors affecting pressure filtration performance, we developed a coupled computational fluid dynamics (CFD) and discrete element method (DEM) model for simulating the effect of solvent flow through the solid particle cake. The model was validated using data collected by filtering mixtures of spherical glass beads and deionized water through a dead-end cell over a range of applied pressures. Numerical experiments were performed to study the effects of particle properties, liquid properties and operating conditions on filtration performance. The model predicted that the filtrate flow rate could be strongly affected by the mean size of the particles, the presence of small particles (i.e. fines) in the particle distribution, the viscosity of the liquid, and particle deformation leading to cake compression. Our study demonstrated that CFD-DEM modeling is a powerful approach for understanding cake filtration processes and predicting filtration performance.

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Numerical simulation of the filtration process in fibrous filters using CFD-DEM method

Cited by 70 publications

References 32 publications

Investigating the filtration behavior of metal fiber felt using CFD-DEM simulation

Investigating the filtration behavior of metal fiber felt using CFD-DEM simulation

CFD and Laboratory Studies of Dust Cleaning Efficacy of an Efficient Four Stage Non-Clogging Impingement Filter for Flooded-Bed Dust Scrubbers

Predicting the performance of pressure filtration processes by coupling computational fluid dynamics and discrete element methods

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