Numerical study on turbulence modulation in gas–particle flows

Yan, Fusheng; Lightstone, M.F.; Wood, P. E.

doi:10.1007/s00231-006-0103-0

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…(1), which will be referred hereafter as S k p1 , under-predicts the turbulent kinetic energy. Yan et al (2007) suggested a second source term, S k p2 and S e p2 , that accounts for turbulence generation due to particles wakes. The resulting source term becomes,…”

Section: Effect Of Particles On Gas Flowmentioning

confidence: 99%

“…The modeled form of the second part of these source terms as described by Yan et al (2007) is given by:…”

Section: Effect Of Particles On Gas Flowmentioning

confidence: 99%

“…Chen and Wood, 1985;Mostafa and Mongia, 1988;Tu and Fletcher, 1994;Lightstone and Hodgson, 2004), resulting in a source term for the turbulent kinetic energy equation of the form Bolio and Sinclair (1995) and Zhang and Reese (2001) found that simulations using this form of turbulent kinetic energy source term under-predicts the turbulent kinetic energy. Yan et al (2007) added a term that accounts for turbulence generation due to particles wakes to the above model. More details about this modification will be discussed in a later section of this paper.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hydrodynamic and thermal fields analysis in gas–solid two-phase flow

El-Behery

El‐Askary

Hamed

et al. 2011

International Journal of Heat and Fluid Flow

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Section: Effect Of Particles On Gas Flowmentioning

confidence: 99%

“…The modeled form of the second part of these source terms as described by Yan et al (2007) is given by:…”

Section: Effect Of Particles On Gas Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hydrodynamic and thermal fields analysis in gas–solid two-phase flow

El-Behery

El‐Askary

Hamed

et al. 2011

International Journal of Heat and Fluid Flow

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“…During the last two decades, many researchers have presented "source term models" to predict turbulence modulation [4][5] [6]. For these models, an extra term is included in the fluid momentum equation to account for the effect of particles on the fluid phase.…”

Section: Introductionmentioning

confidence: 99%

Computational Prediction of Turbulence Modification in Gas-Solid Two-Phase Flows

Yan

Liang

2011

Communications in Computer and Information Science

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Abstract. This investigation is concerned with developing a model of the processes involved in turbulence modification in dilute gas-solid turbulent flows. The underlying formulation scheme employs an Eulerian-Lagrangian reference frame, i.e. the carrier phase is considered as a continuum system, while the trajectories of individual particles are calculated using a Lagrangian frame work. A random walk model is used to solve the particle motion equation. The proposed model, along with turbulence modulation models from the literature, is used to simulate a particle-laden vertical pipe flow. The simulation results show that the new model provides improved predictions of the experimental data.

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Numerical investigation of FLUID COKING™ units, Part II: Modelling of feed vaporisation

Grace

et al. 2011

Can J Chem Eng

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The hydrodynamics of FLUID COKING™ units are investigated with computational fluid dynamics (CFD). The vaporisation of liquid feed is simulated by introducing limiting assumptions to simplify and bound the process: (a) liquid feed entirely vaporised at the entrance of the column; (b) liquid feed vaporised immediately upon contact with the coke particles; and (c) liquid coated uniformly on the particles, with vapour generated uniformly throughout the bed. Results predicted under these extreme scenarios are compared. Then, two cases with a relatively realistic description of liquid–solid interaction and feed vaporisation are simulated. The vaporisation rate is found to play an important role in affecting the flow hydrodynamics. Based on the local liquid‐to‐solid ratio and shear stress distribution, an agglomeration index is introduced to characterise the stability of agglomerates in the reactor. The vaporisation rate of liquid film on particles is shown to affect the distribution of the agglomeration index. The results indicate that a high vaporisation rate tends to decrease both agglomeration and stripper fouling. © 2011 Canadian Society for Chemical Engineering

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Numerical study on turbulence modulation in gas–particle flows

Cited by 11 publications

References 14 publications

Hydrodynamic and thermal fields analysis in gas–solid two-phase flow

Hydrodynamic and thermal fields analysis in gas–solid two-phase flow

Computational Prediction of Turbulence Modification in Gas-Solid Two-Phase Flows

Numerical investigation of FLUID COKING™ units, Part II: Modelling of feed vaporisation

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