Modeling particle‐laden flows: A research outlook

Curtis, Jennifer; Wachem, Berend van

doi:10.1002/aic.10394

Cited by 85 publications

(34 citation statements)

References 43 publications

(39 reference statements)

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“…5,6 A Eulerian approach is capable of simulating a number of particles comparable to that of typical systems, but at the expense of information on individual particle trajectories. It is also worth noting that only average particle behaviour is represented, and that more complex particle interactions such as adhesion are significantly more difficult to implement in a Eulerian framework.…”

Section: Introductionmentioning

confidence: 99%

A numerical study exploring the effect of particle properties on the fluidization of adhesive particles

2016

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The effects of varying the elastic modulus, coefficient of restitution, and coefficient of friction of adhesive particles on fluidized bed dynamics have been investigated via numerical simulations.It is found that lower values of the elastic modulus and coefficient of restitution lead to a greater degree of particle clustering, and the formation of smaller bubbles. Coordination numbers are found to initially increase, and then fall, with increasing coefficient of friction, while bubble velocities follow the opposite trend. It is concluded that artificially reducing the elastic modulus of adhesive particles has a significant impact on the fluidization behaviour. The change in dynamics of the fluidized bed due to varying the coefficient of friction is more complex: particle clustering increases up to a point, beyond which clusters become increasingly rigid.

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Section: Introductionmentioning

confidence: 99%

A numerical study exploring the effect of particle properties on the fluidization of adhesive particles

2016

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“…It is important because any change in continuous phase turbulence has a direct influence on the fluid mean velocity, heat and mass transfer as well as particle mixing and dispersion (Fokeer, Kingman, Lowndes, & Reynolds, 2004;Kenning & Crowe, 1997;Lightstone & Hodgson, 2004). It has also been pointed out that in a dilute phase particle laden flow, turbulence modulation impacts drastically on the conveying line pressure drop (Curtis & van Wachem, 2004). Laín, Bröder, Sommerfeld, and Göz (2002) also highlighted the influence of turbulence modulation on the prediction of the hydrodynamic behaviour of a bubble in a bubble column.…”

Section: Turbulence Modulation In Fluid-particle Flowsmentioning

confidence: 99%

CFD–DEM simulation of turbulence modulation in horizontal pneumatic conveying

Ebrahimi

Crapper

2017

Particuology

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A study is presented to evaluate the capabilities of the standard k-turbulence model and the k-turbulence model with added source terms in predicting the experimentally measured turbulence modulation due to the presence of particles in horizontal pneumatic conveying, in the context of a CFD-DEM Eulerian-Langrangian simulation. Experiments were performed using a 6.5 m long, 0.075 m diameter horizontal pipe in conjunction with a laser Doppler anemometry (LDA) system. Spherical glass beads with two different sizes, 1.5 mm and 2 mm, were used. Simulations were carried out using the commercial Discrete Element Method (DEM) software EDEM, coupled with the Computational Fluid Dynamics (CFD) package FLUENT. Hybrid source terms were added to the conventional k- turbulence model to take into account the influence of the dispersed phase on the carrier phase turbulence intensity. The simulation results showed that the turbulence modulation depends strongly on the model parameter Cɛ3. Both the standard k- turbulence model and the k- turbulence model with the hybrid source terms could predict the gas phase turbulence intensity trend only generally, with in all cases a noticeable discrepancy between simulation and experimental results was observed, particularly for the regions close to the pipe wall. It was also observed that in some cases the addition of the source terms to the k- turbulence model did not improve the simulation results when compared to the simulation results of the standard k- turbulence model, though in the lower part of the pipe where particle loading was greater due to gravitational effects the model with added source terms performed somewhat better.

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“…However, multiphase CFD is not as well developed or validated as is single-phase CFD. Improved computational models have been developed and tested for years (see for example Crowe et al (1996Crowe et al ( , 1997; Sundaresan (2000); Sinclair Curtis and van Wachem (2004)), and the overall goal of this project was the development, validation, and implementation of improved models. Some of the computational work performed in this program was reported in Kashiwa and VanderHeyden (2000), Zhang and VanderHeyden (2000, b, 2002, Zhang et al (1995), and Zhang et al (1999).…”

Section: Computational Modeling Of Flow In Cfbsmentioning

confidence: 99%

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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Modeling particle‐laden flows: A research outlook

Cited by 85 publications

References 43 publications

A numerical study exploring the effect of particle properties on the fluidization of adhesive particles

A numerical study exploring the effect of particle properties on the fluidization of adhesive particles

CFD–DEM simulation of turbulence modulation in horizontal pneumatic conveying

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

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