Sediment flow in inclined vessels calculated using a multiphase particle-in-cell model for dense particle flows

Snider, Dale M.; O’Rourke, P.J.; Andrews, Malcolm J.

doi:10.1016/s0301-9322(98)00030-5

Cited by 156 publications

(88 citation statements)

References 20 publications

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“…The motion of the particle phase is described in terms of particle "clouds" that represent the underlying particle probability distribution function (Andrews et al, 1996;Snider et al, 1998;Snider, 2001;Williams et al, 2002 The numerical method outlined above is implemented in Arena-flow in a transient, threedimensional manner. Geometry specification is achieved via CAD drawings, and the Arena-flow grid generator transforms the geometry to control volumes .…”

Section: Description Of the Arena-flow Gas-particle Simulation Codementioning

confidence: 99%

“…An advanced numerical method for gas-particle flows enables Arena-flow to simulate this type of flow with reasonable times (Andrews et al, 1996;Snider et al, 1998;Snider, 2001). …”

mentioning

confidence: 99%

“…The multiphase particle-in-cell (MP-PIC) numerical method implemented in Arena-flow is specifically formulated for dense particle flows (Andrews et al, 1996;Snider et al, 1998;Snider, 2001). In this method, the carrier gas is treated as a continuum fluid (an Eulerian representation), whereas the particle phase is treated both as a continuum medium and as discrete entities (a Lagrangian representation).…”

mentioning

confidence: 99%

“…The particle momentum equation is given by (6.3.5) where D p characterizes the fluid-particle drag and τ p is the interparticle stress. Several models for fluid-particle drag are considered (Snider et al, 1998;Snider, 2001;Williams et al, 2002), including the Stokes relation, the Gidaspow model (Gidaspow, 1994), and the Ergun relation. The latter two models include the effects of finite Reynolds number and of the close-packed particle volume fraction θ cp .…”

mentioning

confidence: 99%

“…The details of this method have been reported elsewhere (Andrews et al, 1996;Snider et al, 1998;Snider, 2001;Williams et al, 2002). In brief, the fluid and the particles are implicitly coupled through the interphase momentum transfer.…”

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confidence: 99%

See 4 more Smart Citations

Circulating fluidized bed hydrodynamics experiments for the multiphase fluid dynamics research consortium (MFDRC).

Oelfke¹,

Torczynski²,

O’Hern³

et al. 2006

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An experimental program was conducted to study the multiphase gas-solid flow in a pilot-scale circulating fluidized bed (CFB). This report describes the CFB experimental facility assembled for this program, the diagnostics developed and/or applied to make measurements in the riser section of the CFB, and the data acquired for several different flow conditions. Primary data acquired included pressures around the flow loop and solids loadings at selected locations in the riser. Tomographic techniques using gamma radiation and electrical capacitance were used to determine radial profiles of solids volume fraction in the riser, and axial profiles of the integrated solids volume fraction were produced. Computer Aided Radioactive Particle Tracking was used to measure solids velocities, fluxes, and residence time distributions. In addition, a series of computational fluid dynamics simulations was performed using the commercial code Arenaflow™.

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Section: Description Of the Arena-flow Gas-particle Simulation Codementioning

confidence: 99%

“…An advanced numerical method for gas-particle flows enables Arena-flow to simulate this type of flow with reasonable times (Andrews et al, 1996;Snider et al, 1998;Snider, 2001). …”

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Circulating fluidized bed hydrodynamics experiments for the multiphase fluid dynamics research consortium (MFDRC).

Oelfke¹,

Torczynski²,

O’Hern³

et al. 2006

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CPFD flow pattern simulation in downer reactors

Abbasi

Islam

Ege³

et al. 2012

AIChE Journal

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This study contributes with a computational fluid dynamic simulation based on the numerical solution of continuity and momentum balance equations in a three‐dimensional (3‐D) framework. The proposed down flow gas–solid suspension model includes a unit configuration and CD drag coefficients recommended for these units. Computational particle fluid dynamics (CPFD) calculations using suitable boundary conditions and a Barracuda (version: 14.5.2) software allow predicting local solid densification and asymmetric “wavy flows.” In addition, this model forecasts for the conditions of this study higher particle velocity than gas velocity, once the flow reaches 1 m from the gas injector. These findings are accompanied with observations about the intrinsic rotational character of the flow. CPFD numerical 3‐D calculations show that both gas and particle velocities involve the following: (a) an axial velocity component, (b) a radial velocity component (about 5% of axial velocity component), and (c) an angular velocity component. The calculated velocity components and the rotational flow pattern are established for a wide range of solid flux/gas flux ratios. © 2012 American Institute of Chemical Engineers AIChE J, 59: 1635–1647, 2013

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Analysis of the effect of small amounts of liquid on gas–solid fluidization using CFD‐DEM simulations

et al. 2017

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Gas-solid fluidization involving small amounts of liquid is simulated using a CFD-DEM model. The model tracks the amount of liquid on each particle and wall element and incorporates finite rates of liquid transfer between particles and pendular liquid bridges which form between two particles as well as between a particle and a wall element. Viscous and capillary forces due to these bridges are modeled. Fluidization-defluidization curves show that minimum fluidization velocity and defluidized bed height increase with Bond number (Bo), the ratio of surface tension to gravitational forces, due to cohesion and inhomogeneous flow structures. Under fluidized conditions, hydrodynamics and liquid bridging behavior change dramatically with increasing Bo, and to a lesser extent with capillary number, the ratio of viscous to surface tension forces. Bed fluidity is kept relatively constant across wetting conditions when one maintains a constant ratio of superficial velocity to minimum fluidization velocity under wet conditions. V C 2017 American Institute of Chemical Engineers AIChE J, 63: 5290-5302, 2017

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Sediment flow in inclined vessels calculated using a multiphase particle-in-cell model for dense particle flows

Cited by 156 publications

References 20 publications

Circulating fluidized bed hydrodynamics experiments for the multiphase fluid dynamics research consortium (MFDRC).

Circulating fluidized bed hydrodynamics experiments for the multiphase fluid dynamics research consortium (MFDRC).

CPFD flow pattern simulation in downer reactors

Analysis of the effect of small amounts of liquid on gas–solid fluidization using CFD‐DEM simulations

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