Characterisation of the cross sectional particle concentration distribution in horizontal dilute flow conveying—a review

Fokeer, Smeeta; Kingman, S.W.; Lowndes, I.S.; Reynolds, Anne

doi:10.1016/s0255-2701(03)00096-5

Cited by 67 publications

(32 citation statements)

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“…In this study, the asymmetrical accumulation of particles within the fittings was found, which is consistent with the scientific studies performed in other areas of research (Fokker et al, 2003). The flow structure and, specifically, vortex pairs formed downstream of the 90…”

Section: Field Experimentssupporting

confidence: 91%

Accumulation and modeling of particles in drinking water pipe fittings

Neilands

Bernats

Rubulis

2012

Drink. Water Eng. Sci.

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Abstract. The effect of pipe fittings (mainly T-pieces) on particle accumulation in drinking water distribution networks were shown in this work. The online measurements of flow and turbidity for cast iron, polyethylene and polyvinyl chloride pipe sections were linked with analysis of pipe geometry. Up to 0.29 kg of the total amount mobilized in T-pieces ranging from DN 100/100-DN 250/250. The accumulated amount of particles in fittings was defined as J and introduced into the existing turbidity model PODDS (prediction of discoloration in distribution systems) proposed by Boxall et al. (2001) which describes the erosion of particles leading to discoloration events in drinking water network viz sections of straight pipes. However, this work does not

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Section: Field Experimentssupporting

confidence: 91%

Accumulation and modeling of particles in drinking water pipe fittings

Neilands

Bernats

Rubulis

2012

Drink. Water Eng. Sci.

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“…Therefore, analysis of the interaction forces in conjunction with the flow behavior of individual particles can help understand the underlying mechanisms. With advances in measuring techniques for particle-fluid systems in the last two decades, 19,20 the internal structure of flow regimes constructed according to particles position, and the velocities of particle patterns can now be obtained using tomography techniques. [21][22][23][24] Particle-wall force is also accessible through the stress transistors.…”

Section: Introductionmentioning

confidence: 99%

Micromechanic modeling and analysis of the flow regimes in horizontal pneumatic conveying

Kuang

2011

AIChE Journal

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Pneumatic conveying is an important technology for industries to transport bulk materials from one location to another. Different flow regimes have been observed in such transportation processes, but the underlying fundamentals are not clear. This article presents a three-dimensional (3-D) numerical study of horizontal pneumatic conveying by a combined approach of discrete element model for particles and computational fluid dynamics for gas. This particle scale, micromechanic approach is verified by comparing the calculated and measured results in terms of particle flow pattern and gas pressure drop. It is shown that flow regimes usually encountered in horizontal pneumatic conveying, including slug flow, stratified flow, dispersed flow and transition flow between slug flow and stratified flow, and the corresponding phase diagram can be reproduced. The forces governing the behavior of particles, such as the particleparticle, particle-fluid and particle-wall forces, are then analyzed in detail. It is shown that the roles of these forces vary with flow regimes. A general phase diagram in terms of these forces is proposed to describe the flow regimes in horizontal pneumatic conveying.

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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).…”

Section: Turbulence Modulation In Fluid-particle Flowsmentioning

confidence: 99%

“…These four parameters may be expressed as 1) mass /volumetric solid loading, 2) the ratio of particle diameter to the fluid turbulence length scale 3) particle Reynolds number ( = ( − ) ⁄ ) and 4) Stokes number ( = ⁄ ) (Fokeer, et al, 2004;Gouesbet & Berlemont, 1998;Mandø, 2009;Yarin & Hetsroni, 1994) where is the fluid density, is the fluid velocity, is the particle velocity, is particle diameter and is the dynamic viscosity. and are particle response time and eddy turnover time respectively.…”

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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Characterisation of the cross sectional particle concentration distribution in horizontal dilute flow conveying—a review

Cited by 67 publications

References 50 publications

Accumulation and modeling of particles in drinking water pipe fittings

Accumulation and modeling of particles in drinking water pipe fittings

Micromechanic modeling and analysis of the flow regimes in horizontal pneumatic conveying

CFD–DEM simulation of turbulence modulation in horizontal pneumatic conveying

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