Computer simulation of hopper flow

Potapov, A. V.; Campbell, Charles S.

doi:10.1063/1.869069

Cited by 71 publications

(46 citation statements)

References 19 publications

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“…The discrete properties obtained from CFD-DEM can be linked to continuum properties by using proper averaging (or coarse-graining) methods. [37][38][39][40]42,57,58 There are a variety of averaging methods reported in previous studies, such as the volume averaging method, 59-61 time-volume averaging method, [62][63][64] and weighted timevolume averaging method. 37,39,41,42 Strictly speaking, the volume averaging method is mainly applicable to quasistatic flows, as the inertial effect is neglected.…”

Section: Averaging Methodsmentioning

confidence: 99%

Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles

Hou

2020

AIChE Journal

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Discrete particle simulation can explicitly consider interparticle forces and obtain microscopic properties of the fluidized cohesive particles, but it is computationally expensive. It is thus pivotal to link the microscopic discrete properties to the macroscopic continuum description of the system for large scale applications. This work studies the fluidization of cohesive particles through the coupled computational fluid dynamics and discrete element method (CFD‐DEM). First, discrete CFD‐DEM results show the increased particle cohesion leads to the severe particle agglomeration which affects the fluidization quality significantly. Then, continuum properties are attained by a weighted time‐volume averaging method, showing that tensile pressure becomes significant as particle cohesion increases. By incorporating Rumpf correlation into the solid pressure equation, the tensile pressure could be predicted consistently with the averaged CFD‐DEM results for different particle cohesion. Finally, those overall steady averaged properties of the bed are obtained for understanding the general macroscopic properties of the system.

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Section: Averaging Methodsmentioning

confidence: 99%

Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles

Hou

2020

AIChE Journal

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“…A particularly common type is a cylindrical hopper with a single central discharge port. This type of hopper has previously been studied using DEM [20,21].…”

Section: Storagementioning

confidence: 99%

Granular flows: fundamentals and applications

Cleary¹

2007

World Scientific Lecture Notes in Complex Systems

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DEM allows the prediction of complex industrial and geophysical particle flows. The importance of particle shape is demonstrated through a series of simple examples. Shape controls resistance to shear, the magnitude of collision stress, dilation and the angle of repose. We use a periodic flow of a bed of particles to demonstrate the different states of granular matter, the generation of dilute granular flow when granular temperature is high and the flow dependent nature of the granular thermodynamic boundary conditions. A series of industrial case studies examines how DEM can be used to understand and improve processes such as separation, mixing, grinding, excavation, hopper discharge, metering and conveyor interchange. Finally, an example of landslide motion over real topography is presented.

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“…This information has been used to examine features within the granular bed that may be difficult to obtain experimentally. For example, the granular microstructure186, 206 and the internal stresses and/or flow fields31, 46, 207–209 have been obtained for various hopper flow systems. Finally, other work has examined unusual hopper geometries,44 the stresses acting on the hopper walls,47, 203, 204, 208 and the effects of hopper vibration,210, 211 flow promoting inserts,197 and interstitial air on hopper discharge 154…”

Section: Application To Pharmaceutical Processesmentioning

confidence: 99%

“…One of the simplest and most commonly used normal force model is the linear spring and dashpot (LSD) model 22, 23, 28–33. Here, the repulsive portion of the contact is modeled with a linear spring and the dissipative portion of the contact is modeled in parallel with a viscous dashpot.…”

Section: Introductionmentioning

confidence: 99%