Experimental and numerical investigation of downward gas-dispersed turbulent pipe flow

Пахомов, М. А.; Protasov, M. V.; Терехов, В. И.; Varaksin, A. Yu.

doi:10.1016/j.ijheatmasstransfer.2006.11.009

Cited by 28 publications

(4 citation statements)

References 12 publications

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“…If there is no effect of dust particles in the flow field, the resulting Equation (15) reduces to Equation (16) which represents the energy motion for turbulent flow in terms of the correlation tensor of second order and in absence of the dissipation ε by the turbulence per unit mass the Equation (16) reduces to Equation (17) which gives the turbulent motion in terms of correlation tensors of second order that is the same as obtained Hinze (1975).…”

Section: Resultsmentioning

confidence: 92%

“…Kishore and Sarker [12] determined the rate of change of vorticity covariance in magneto hydrodynamic turbulent flow of dusty incompressible fluid. The influence of dust particles on the turbulence in a vertical pipe at moderate particle concentrations was studied by Pakhomov et al [17]. The radial profiles of the axial and radial velocity components and of the turbulent kinetic energy of the carrier (gas) and the dispersed phases were measured using two-component laser Doppler anemometer.…”

Section: Introductionmentioning

confidence: 99%

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Derivation of Turbulent Energy in Presence of Dust Particles

Ahmed¹

2013

AJAM

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Abstract:Energy equation for dusty fluid turbulent flow has been derived in terms of correlation tensors of second order.In presence of dust particles, mathematical modeling of turbulent energy is discussed including the correlation between the pressure fluctuations and velocity fluctuations at two points of the flow field, where the correlation tensors are the functions of space coordinates, distance between two points and time. To reveal the relation of turbulent energy between the two points, one point has been taken as origin of the coordinate system.

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Derivation of Turbulent Energy in Presence of Dust Particles

Ahmed¹

2013

AJAM

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“…These formulations mainly depend on the turbulence model used to close the fluid momentum equation (Laín & Sommerfeld, 2003). Since the k is the most common turbulence model in single phase flow modelling, consequently most of the source terms are derived for turbulent kinetic energy and dissipation equations of this model (Chen & Wood, 1985;Fan, et al, 1997;Pakhomov, Protasov, Terekhov, & Varaksin, 2007). However, source terms for other turbulence models like Reynolds stress turbulence model and k- have also been derived (Laín & Sommerfeld, 2008;Lun, 2000).…”

Section: Numerical Modelling Of Turbulence Modulationmentioning

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, the cost of doing experiments is very high. Using the advantage of computer technology, the flow structure and specific physical parameters of multiphase flows can be simulated numerically based on computational fluid dynamics (CFD) methodology (Shang, 2005;Pakhomov et al, 2007;Verma et al, 2013).…”

Section: Introductionmentioning

confidence: 99%