Prediction of the particle-laden jet with a two-equation turbulence model

Elghobashi, S.; Abou-Arab, T.W.; Rizk, Magdi; Mostafa, Ahmed

doi:10.1016/0301-9322(84)90006-5

Cited by 129 publications

(46 citation statements)

References 6 publications

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“…However, when the mathematical model is described with respect to a Cartesian coordinate system (x, y, z), as in the present work, the test problem is actually three dimensional and it can be used to conveniently demonstrate the capabilities of the proposed three-dimensional CVFEM-based procedure. Details of the experimental setup and inlet conditions for both the fluid and the solid particulate phases are thoroughly reported in the experimental paper of Modarress et al [31] and also in the numerical study of Elghobashi et al [32]. In their experiments, Modarress et al [31] used a two-color, frequency-shifted laser Doppler anemometer (LDA) to perform the velocity measurements for the fluid and the particle phases.…”

Section: Resultsmentioning

confidence: 99%

“…For the gas-phase measurements in the presence of solid particles, the signals from the dispersed phase were identified (through their larger signal amplitude, compared with that of the seeding particles) and then rejected. These experimental data have been used in earlier investigations to check two-phase gas-particle flow predictions [32][33][34]. A schematic representation of the turbulent jet of air and solid particles investigated in the experiments of Modarress et al [31] is shown in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

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Numerical model for the prediction of dilute, three‐dimensional, turbulent fluid–particle flows, using a Lagrangian approach for particle tracking and a CVFEM for the carrier phase

Oliveira

Costa

Baliga

2008

Numerical Methods in Fluids

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SUMMARYA numerical model for dilute, three-dimensional, turbulent, incompressible fluid-solid particle flows and its application to a demonstration problem are presented. An Eulerian description is used to model the flow of the fluid (carrier) phase, and the governing equations are solved using a control-volume finite element method (CVFEM). The motion of the solid (particulate) phase is simulated using a Lagrangian approach. An efficient algorithm is proposed for locating the particles in the finite element mesh. In the demonstration problem, which involves a particle-laden axisymmetric jet, a modified k-turbulence model is used to characterize the velocity and length scales of the turbulent flow of the fluid phase. The effect of turbulence on the particle trajectories is accounted for through a stochastic model. The effect of the particles on the fluid time-mean velocity and turbulence (two-way coupling) is also addressed. Comparisons between predictions and available experimental data for the demonstration problem are presented. Satisfactory agreement is obtained.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Numerical model for the prediction of dilute, three‐dimensional, turbulent fluid–particle flows, using a Lagrangian approach for particle tracking and a CVFEM for the carrier phase

Oliveira

Costa

Baliga

2008

Numerical Methods in Fluids

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“…Figure 5 shows experimental and computed distributions of normalized turbulent kinetic energy vs. the normalized pipe radius. The square root of the global intensity of turbulence is normalized by means of the axial velocity of the air in the pipe.…”

Section: Discussion Of Numerical Resultsmentioning

confidence: 99%

An Algorithm for Attenuation of Turbulence in Particulate Flow Linked to the Fluid-dynamic Code COMMIX-M.

Bottoni

Ninokata

1998

J. Nucl. Sci. Technol.

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Fluid turbulence is affected by the presence of transported particles in a variety of engineering problems. In particulate flow large particles increase the turbulence intensity while small particles damp it. Numerical simulation of turbulence due to vortex shedding by large particles is made satisfactorily by adding corrective terms in the k-E model equations. Damping of turbulence due to the shear action of small particles which are entrained by the oscillating motion of the fluid is however more difficult to simulate. This article applies the method proposed by A1 Taweel and Landau for turbulence attenuation due to small particles which consists of evaluating a damping function depending on the spectral distribution of turbulence. The method, originally applied in the dissipation range only, is extrapolated to the full spectrum of turbulence and the resulting numerical algorithm is linked to the general purpose computer program COMMIX-M which describes three dimensional multi-phase fluid-dynamic problems. An analytical treatment is presented, which generalizes the A1 Taweel-Landau method to the inertial subrange of the spectral domain.Numerical calculations of particulate flow in upward pipe flow, with particles transported by air, are discussed. Comparison with experimental results enables to infer about future work necessary to cope with present limitations of the method proposed.

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“…Taking into account that the Reynolds numbers range for the gas phase is wide (min: 10, max: 2500), the mixture k-ε approach is used for turbulence modelling (Elghobashi et al, 1984). For incompressible flows, the turbulence parameters are calculated from equations 10-11: …”

Section: Two-phase K-ε Turbulence Modelmentioning

confidence: 99%

Computational Flow Modelling of Multiphase Reacting Flow in Trickle-bed Reactors with Applications to the Catalytic Abatement of Liquid Pollutants

Lopes¹,

Quinta‐Ferreira²

2011

Computational Fluid Dynamics Technologies and Applications

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Prediction of the particle-laden jet with a two-equation turbulence model

Cited by 129 publications

References 6 publications

Numerical model for the prediction of dilute, three‐dimensional, turbulent fluid–particle flows, using a Lagrangian approach for particle tracking and a CVFEM for the carrier phase

Numerical model for the prediction of dilute, three‐dimensional, turbulent fluid–particle flows, using a Lagrangian approach for particle tracking and a CVFEM for the carrier phase

An Algorithm for Attenuation of Turbulence in Particulate Flow Linked to the Fluid-dynamic Code COMMIX-M.

Computational Flow Modelling of Multiphase Reacting Flow in Trickle-bed Reactors with Applications to the Catalytic Abatement of Liquid Pollutants

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