Analysis of Cohesive Particle Percolation in a Packed Bed Using Discrete Element Method

Zhou, Heng; Wu, Shengli; Kou, Mingyin; Luo, Zhiguo; Zou, Zongshu; Shen, Yansong

doi:10.2355/isijinternational.isijint-2017-373

Cited by 15 publications

(9 citation statements)

References 34 publications

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“…Generally, the mass fraction of percolated particles, mean percolation velocity, diffusion velocity, and radial dispersion are used for percolation evaluation. 8 − 11 In recent years, segregation velocity and segregation flux have been proposed and used to construct continuum segregation models. 45 − 47 The above methods are fit for use for percolation and segregation.…”

Section: Percolation Evaluation Methodsmentioning

confidence: 99%

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Local Percolation of a Binary Particle Mixture in a Rectangular Hopper with Inclined Bottom during Discharging

et al. 2020

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To reveal the local percolation characteristics of a binary particle mixture in a rectangular hopper with inclined bottom, the discrete element method (DEM) is used to simulate the discharging process. A local percolation evaluation method is proposed, and the percolation strength grid maps are drawn. The effects of geometric parameters, particle properties, and interaction parameters on percolation are investigated. Apart from the free surface, percolation is mainly concentrated near the wall and at the bottom. With the increase in the orifice width, the average local percolation strength index (ALPSI) of the near-wall region increases and that of the bottom region decreases. The effect of the angle on percolation in the near-wall region can be ignored. The effect of friction on local percolation is significant. Increasing the fine particle mass fraction and reducing the difference in particle size can effectively avoid percolation.

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Section: Percolation Evaluation Methodsmentioning

confidence: 99%

“…In the past, some research studies on particle percolation have been conducted. For example, percolation of spherical particles, 7 cohesive particles, 8 and nonspherical particles 9 in packed beds has been extensively studied. In addition, percolation in blast furnace burden 10 and steady shear flow 11 was also investigated.…”

Section: Introductionmentioning

confidence: 99%

Local Percolation of a Binary Particle Mixture in a Rectangular Hopper with Inclined Bottom during Discharging

et al. 2020

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“…Zaki et al, 11) predicted granular mass discharge rate through different orifice shapes of the same opening area at the flat bottomed cylindrical silo. Ariyama et al 12) and Zhou et al 13) were discussed the development model of the fine particle inside the blast furnace using the DEM model, which contains the key phenomena including percolation velocity, residence time distribution, longitudinal and transverse dispersion, of cohesive fine particles in a packed bed. However, for a system like a blast furnace where the gas flow is strongly affected the fine particle arrangements and porosity distribution, the coupling analysis between DEM and Computational Fluid Dynamic (CFD) for gas flow is needed.…”

Section: Numerical Simulation On Phenomena Of Fine Particles Passing Through An Orifice Under Gas Flow Conditionmentioning

confidence: 99%

Numerical Simulation on Phenomena of Fine Particles Passing through an Orifice under Gas Flow Condition

et al. 2020

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“…In addition, nonspherical particle percolation behaviors through a packed bed or disordered particulate media are examined . The effects of complicated granular materials state, such as under cohesive or wet/dry conditions, on particulate system mixing and segregation have been widely discussed . Apart from the mixing observation based on solid phase, the gas pressure drop across granulated mixtures is studied as well .…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of mixed layer effect on permeability in a dynamic blast furnace

Dianyu

2020

Engineering Reports

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Gas flow distribution in a blast furnace (BF) plays a significant role in BF smooth operation, productivity, and thermal efficiency. It is affected by the distribution of burden materials composed of alternating coke and ferrous ore layers. While moving downward coke and ferrous layers of different sizes can mix and form the so-called mixed layers. Generally, the porosity is lower and hence the pressure drop is higher in the mixed layers. These variations can change the gas flow distribution and BF performance. Previous work tried to quantify the effect of material properties and process conditions on the formation of mixed layers and the resulting local porosity variation. However, these studies were often conducted under simplified conditions. Few were dedicated to the formation of mixed layers in a BF and its effect on BF performance. This work studies the formation of mixed layers in an experimental BF by using a combined computational fluid dynamics and discrete element method approach. The effect on BF performance was evaluated under different operational conditions including different size ratios of coke to iron ore particles, burden distribution, batch weight, and discharge rate.The results obtained were helpful to optimize burden charge for improving BF performance. K E Y W O R D Sblast furnace, computational fluid dynamics, discrete element method, mixed layer, permeability

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Analysis of Cohesive Particle Percolation in a Packed Bed Using Discrete Element Method

Cited by 15 publications

References 34 publications

Local Percolation of a Binary Particle Mixture in a Rectangular Hopper with Inclined Bottom during Discharging

Local Percolation of a Binary Particle Mixture in a Rectangular Hopper with Inclined Bottom during Discharging

Numerical Simulation on Phenomena of Fine Particles Passing through an Orifice under Gas Flow Condition

Numerical investigation of mixed layer effect on permeability in a dynamic blast furnace

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