Extension of Hill–Koch–Ladd drag correlation over all ranges of Reynolds number and solids volume fraction

Benyahia, Sofiane; Syamlal, Madhava; O’Brien, Thomas J.

doi:10.1016/j.powtec.2005.12.014

Cited by 168 publications

(106 citation statements)

References 15 publications

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“…Later on, this drag model was extended by Benyahia S. et al (2006) to cover a wider range of Reynolds numbers and particle volume fraction. The model proposed is complicated and in Table 1, a simplification suggested by Benyahia S. et al (2006) is provided 1 .…”

Section: Drag Modelsmentioning

confidence: 99%

“…The model proposed is complicated and in Table 1, a simplification suggested by Benyahia S. et al (2006) is provided 1 . Beetstra R. et al (2007) used the same method to derive a drag model where a more complex functional form was proposed instead of a linear scaling with Re to describe the inertial effects.…”

Section: Drag Modelsmentioning

confidence: 99%

“…New drag models have been proposed and developed in recent years based upon simulations using the Lattice-Boltzmann method (LBM) or immersed boundary method (IBM) (Hill R.J. et al, 2001a;2001b;Van der Hoef M.A. et al, 2005;Benyahia S. et al, 2006;Beetstra R. et al, 2007;Tang Y. et al, 2015). In a combined experimental and simulation study, Link J.M.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Remmelgas

Wachem

et al. 2016

KONA

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Fluidized bed coating has been used to coat pellets or tablets with functional substances for a number of purposes. In this coating process, particle wetting, drying and film formation are coupled to particle motion. It is therefore of interest to study particle motion in such fluidized beds and to use the results to develop a model for predicting the quality of the final product. In this paper, we present results from DEM-CFD simulations, i.e. discrete element method and computational fluid dynamics simulations of particle motion in a laboratory-scale Wurster fluidized bed that was also employed in positron emission particle tracking (PEPT) experiments. As the drag force is the dominant interaction between the gas flow and the particle motion in this type of fluidized bed, the effect of drag models on the particle motion is investigated. More specifically, the particle velocity and residence time distributions of particles in different regions calculated from five different drag models are presented. It is found that the Gidaspow and Tang drag models predict both particle cycle and residence times well. The HKL and Beetstra drag models somewhat overestimate the particle velocity in the Wurster tube and therefore predict a reduced number of recirculations and a significantly shorter cycle time.

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Section: Drag Modelsmentioning

confidence: 99%

Section: Drag Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Remmelgas

Wachem

et al. 2016

KONA

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“…The kinetic theory of granular flow and the k-e turbulence model are used to describe the particleparticle interactions and the gas phase turbulence quantities, respectively. The drag model presented by Benyahia et al (2006) is used in this work to account for the gassolid interactions.…”

Section: Numerical Modelsmentioning

confidence: 99%

Numerical study of hydrogen production by the sorption-enhanced steam methane reforming process with online CO2 capture as operated in fluidized bed reactors

Wang

Chao

Jakobsen

2011

Clean Techn Environ Policy

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A three-dimensional (3D) Eulerian two-fluid model with an in-house code was developed to simulate the gas-particle two-phase flow in the fluidized bed reactors. The CO 2 capture with Ca-based sorbents in the steam methane reforming (SMR) process was studied with such model combined with the reaction kinetics. The sorptionenhanced steam methane reforming (SE-SMR) process, i.e., the integration of the process of SMR and the adsorption of CO 2 , was carried out in a bubbling fluidized bed reactor. The very high production of hydrogen in SE-SMR was obtained compared with the standard SMR process. The hydrogen molar fraction in gas phase was near the equilibrium. The breakthrough of the sorbent and the variation of the composition in the breakthrough period were studied. The effects of inlet gas superficial velocity and steam-to-carbon ratio (mass ratio of steam to methane in the inlet gas phase) on the reactions were studied. The simulated results are in agreement with the experimental results presented by Johnsen et al. (2006a, Chem Eng Sci 61:1195-1202.

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“…A drag model was constructed, which is kinetic-based, as LBM is built upon kinetic theory. Their work was later extended to cover the full range of Reynolds numbers and volume fractions, which allows for application to TFM models as well (Benyahia et al, 2006). Although there have been extensive comparisons of drag models in hydrodynamics (Taghipour et al, 2005), to the author's knowledge parallel work has not been carried out within heat transfer modelling of fluidised beds.…”

Section: Introductionmentioning

confidence: 99%

The influence of multiple tubes on the tube-to-bed heat transfer in a fluidised bed

Armstrong

Luo

2010

International Journal of Multiphase Flow

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a b s t r a c tThere have been few studies modelling both flow and heat transfer in fluidised beds. The kinetic theory of granular flow (KTGF) has been used for flow prediction in the past without heat transfer modelling. In the present study, a two-fluid Eulerian-Eulerian formulation incorporating the KTGF was applied first to a tube-to-bed reactor with one immersed tube and compared with the results in the literature. The bed was then modified to introduce two and three heated tubes. The effects on the flow and temperature distribution, local heat transfer coefficients and averaged heat transfer coefficients over a 3.0 s time period were carried out. Results showed that increasing the number of tubes promotes heat transfer from tubes to the particles and flow. The heat transfer coefficients extracted from the single-tube to three-tube cases were analysed in detail, confirming the importance of linking flow/particle and heat transfer calculations.

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Extension of Hill–Koch–Ladd drag correlation over all ranges of Reynolds number and solids volume fraction

Cited by 168 publications

References 15 publications

Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Numerical study of hydrogen production by the sorption-enhanced steam methane reforming process with online CO2 capture as operated in fluidized bed reactors

The influence of multiple tubes on the tube-to-bed heat transfer in a fluidised bed

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