DEM simulation on the packing of fine ellipsoids

Gan, Jieqing; Yu, Aibing; Zhou, Zongyan

doi:10.1016/j.ces.2016.09.017

Cited by 77 publications

(24 citation statements)

References 54 publications

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“…Zou and Yu [10] presented experimental research on porosity by using a cylindrical container and found that the initial porosity of a pile is strongly dependent on both particle shape and packing method. Another simulation work by the same authors [11] concluded that particle size also influenced the porosity. However, there are only a few publications on the porosity distribution in a three-dimensional particle pile, which is of interest for the distribution of gas flow in industrial applications, such as in reactors, moving and fluidized beds.…”

Section: Introductionmentioning

confidence: 94%

Discrete Element Method (DEM) and Experimental Studies of the Angle of Repose and Porosity Distribution of Pellet Pile

Han

Liu

et al. 2019

Processes

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The lumpy zone in a blast furnace is composed of piles formed naturally during burden charging. The properties of this zone have significant effects on the blast furnace operation, including heat and mass transfer, chemical reactions and gas flow. The properties of the layers mainly include the angle of repose and porosity distribution. This paper introduces two methods, the Discharging Method and the Lifting Method, to study the influence of the packing method on the angle of repose of the pile. The relationships of the angle of repose and porosity with physical parameters are also investigated. The porosity distribution in the bottom of a pile shows a decreasing trend from the region below the apex to the center. The coordination number of the particles is employed to explain this change. The maximum of the frequency distribution of it was found to show a negative correlation to the static friction coefficient, but becomes insensitive to the parameter as the static friction coefficient increases above 0.6.

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Section: Introductionmentioning

confidence: 94%

Discrete Element Method (DEM) and Experimental Studies of the Angle of Repose and Porosity Distribution of Pellet Pile

Han

Liu

et al. 2019

Processes

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“…where inequality (5) assures that the point p k−1 is inside the circle C k of radius r k centered at (x k , 0); inequality (6) guarantees that the circle C k of radius r k centered at (x k , 0) is inside the ellipse E ε with semi-axes a ε = a + ε, b ε = b + ε; inequality (7) reflects the monotonous decrease of the corresponding angle t k ; and the last inequality describes the natural constraint for the radius of the circle C k . Find…”

Section: Solution Algorithm For Stagementioning

confidence: 99%

“…Our interest in covering problems is motivated by packing particles arising in science and engineering applications. Packing problems are widely used in modeling liquid and glass structures [1,2], representing granular materials [3], packing beds, and cermet [4], as well as in many other applications (see, e.g., [5][6][7][8][9][10]). Many algorithms have been proposed for packing spherical particles (see, e.g., [11][12][13][14][15][16] and the references therein).…”

Section: Introductionmentioning

confidence: 99%

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An Optimized Covering Spheroids by Spheres

et al. 2020

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Covering spheroids (ellipsoids of revolution) by different spheres is studied. The research is motivated by packing non-spherical particles arising in natural sciences, e.g., in powder technologies. The concept of an ε -cover is introduced as an outer multi-spherical approximation of the spheroid with the proximity ε . A fast heuristic algorithm is proposed to construct an optimized ε -cover giving a reasonable balance between the value of the proximity parameter ε and the number of spheres used. Computational results are provided to demonstrate the efficiency of the approach.

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“…The method for determining porosity as Eq. (35) could be inferred from the definition of porosity [38]. Where is the grain accumulation volume, is the sum volume of stored grain particles:…”

Section: Porosity and Coordination Numbermentioning

confidence: 99%

Macroscopic and microscopic simulation of silo granular flow based on improved multi-element model

Feng¹,

Yuan²

2019

J. vibroeng.

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In the PFC simulation of silo granular discharge, spherical particles were used in the traditional model, which could not accurately reflect macroscopic and mesoscopic mechanism during discharge of wheat, rice and other particles with non-spherical shapes. This research provides an improved multi-element model consisting of clump elements and ball elements. The model uses clump elements to simulate non-spherical grain particles and ball elements to simulate dust particles. The numerical simulation was carried out with the improved multi-element model, and the results are compared with the traditional simulation which uses the spherical ball elements and the experiment of grain discharge. It demonstrates that: (1) In terms of the normal wall pressure, the dynamic pressure fluctuation in flow with improved multi-element model is more gradual, and the discharge process lasts longer, the normal pressure simulation results are more accurate than the traditional model. (2) In terms of the meso-structure of the granular material, compared with traditional spherical ball model, the material packing porosity of the improved multi-element model decreases and the coordination number increases, which is denser and in consistent with the actual situation. (3) Particle shape would affect the meso-mechanical behavior of particles. The simulation results demonstrate that, compared with the traditional spherical ball model, the contact forces in the improved multi-element model increases, and the distribution of contact force chains is more uniform and denser; several arching force chains could be clearly seen in the improved multi-element model, which clearly reflects the dynamic change law of the instantaneous arch. The improved multi-element model established in this paper further improves the accuracy of simulation and reflects the dynamic changes of the normal pressure on the silo wall, granular material structure and meso-mechanical parameters during grain discharge.

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DEM simulation on the packing of fine ellipsoids

Cited by 77 publications

References 54 publications

Discrete Element Method (DEM) and Experimental Studies of the Angle of Repose and Porosity Distribution of Pellet Pile

Discrete Element Method (DEM) and Experimental Studies of the Angle of Repose and Porosity Distribution of Pellet Pile

An Optimized Covering Spheroids by Spheres

Macroscopic and microscopic simulation of silo granular flow based on improved multi-element model

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