Hydrodynamics of binary fluidization in a riser: CFD simulation using two granular temperatures

Huilin, Lu; Gidaspow, Dimitri

doi:10.1016/s0009-2509(03)00238-0

Cited by 357 publications

(118 citation statements)

References 37 publications

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“…Both functions of the continuous phase volume fraction define the effects of medium and dilute solid phase (volume fraction solid phase less than % 20) on drag. To avoid an abrupt transition between the Wen-Yu and Ergun models, a switch function is used as follows (Huilin and Gidaspow, 2003) (16)…”

Section: Gidaspow Modelmentioning

confidence: 99%

Analysis of drag effects on pulsatile blood flow in a right coronary artery by using Eulerian multiphase model

Yilmaz

Kutlar

Gündoğdu

2011

Korea-Aust. Rheol. J.

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The influence of the presence of neighboring entities on drag in blood flow where the dominating mechanisms are expected to be viscous, drag, and gravity forces is investigated in a 3-D anatomically realistic right coronary artery. A classical Eulerian multiphase model on the Fluent v6.3.26 platform is used to model pulsatile non-Newtonian blood flow. Two new drag models based on the mixture viscosity concept are developed by using the drag similarity criteria. In literature, drag models based on the mixture viscosity concept are only depended on volume fraction and show Newtonian viscosity effects on drag. However, mixture viscosity depends on the primary independent variables such as the volume fraction and the shear rate in most of the dispersed flows like blood flow. Non-Newtonian drag effects on red blood cell are so calculated by using these new volume fraction and the shear rate dependent drag models. Five different drag models including these new drag models are used to model the blood flow in this study to investigate the effectiveness of drag force model on blood flow.

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Section: Gidaspow Modelmentioning

confidence: 99%

Analysis of drag effects on pulsatile blood flow in a right coronary artery by using Eulerian multiphase model

Yilmaz

Kutlar

Gündoğdu

2011

Korea-Aust. Rheol. J.

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“…This code is based on the modified K-FIX CFD code which previous used in the numerical simulations of fluidized beds. 10,41 The K-FIX code uses a staggered finite difference mesh system. 41,42 In the KTRS-FIX code, the fluctuation kinetic energy e o is used to replace with the granular temperature h in the K-FIX code.…”

Section: Constitutive Equations Based On the Kinetic Theory For Roughmentioning

confidence: 99%

A bubbling fluidization model using kinetic theory of rough spheres

et al. 2011

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in Wiley Online Library (wileyonlinelibrary.com).Collisional motion of inelastic rough spheres is analyzed on the basis of the kinetic theory for flow of dense, slightly inelastic, slightly rough sphere with the consideration of gas-solid interactions. The fluctuation kinetic energy of particles is introduced to characterize the random motion of particles as a measure of the translational and rotational velocities fluctuations. The kinetic energy transport equation is proposed with the consideration of the redistribution of particle kinetic energy between the rotational and translational modes and kinetic energy dissipation by collisions. The solid pressure and viscosity are obtained in terms of the particle roughness and restitution coefficient. The partition of the random-motion kinetic energy of inelastic rough particles between rotational and translational modes is shown to be strongly affected by the particle restitution coefficient and roughness. Hydrodynamics of gas-solid bubbling fluidized beds are numerically simulated on the basis of the kinetic theory for flow of rough spheres. Computed profiles of particles are in agreement with the experimental measurements in a bubbling fluidized bed. The effect of roughness on the distribution of energy dissipation, kinetic energy, and viscosity of particles is analyzed. V V C 2011 American Institute of Chemical Engineers AIChE J, 58: [440][441][442][443][444][445][446][447][448][449][450][451][452][453][454][455] 2012

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“…This is often achieved based on KTGF closures. [15][16][17][18][19] The KTGF takes into account the energy transfer and dissipation within the particle phase and between gas-particulate phases, which thoroughly describe the particle phase fluctuations. The constitutive equations for oil vapour and catalyst particle phases read:…”

Section: Constitutive Equationmentioning

confidence: 99%

Numerical study of counter‐current gas–solid flow in FCC disengager and stripper

Jia

Zhao

Berrouk³

et al. 2013

Can J Chem Eng

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Detailed study of the gas-solid flow in FCC reactor was performed using Euler-Euler two-fluid model. Two distinct regions were identified in the reactor vessel based on differences in catalyst void fraction and fluid flow: the dilute phase congested disengager region and dense phase congested stripper region. Velocity profile revealed an inert yet random flow pattern in the disengager and a counter-current type of flow with a pronounced radial unevenness in the stripper. Residence time distribution proved that a small portion of oil vapour could linger over 5 min before exiting despite that the apparatus may have a significantly shorter average residence time.

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Hydrodynamics of binary fluidization in a riser: CFD simulation using two granular temperatures

Cited by 357 publications

References 37 publications

Analysis of drag effects on pulsatile blood flow in a right coronary artery by using Eulerian multiphase model

Analysis of drag effects on pulsatile blood flow in a right coronary artery by using Eulerian multiphase model

A bubbling fluidization model using kinetic theory of rough spheres

Numerical study of counter‐current gas–solid flow in FCC disengager and stripper

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