The comparison of two approaches to numerical modelling of gas-particles turbulent flow and heat transfer in a pipe

The physical characteristics of dilute gas-particle flows over a backward-facing step geometry are investigated. An investigation is performed to assess the performance of two computational approaches-the Lagrangian particle-tracking model and Eulerian two-fluid model-to predict the particle phase flow parameters under the influence of different particle inertia. Particles with corresponding diameters of 1 µm (small-size particles) and 70 µm (large-size particles) are simulated under the flow condition of two Reynolds numbers (based on the step height): Re = 15000 and Re = 64000, for which the model predictions are compared against benchmark experimental measurements. Among the various turbulence models evaluated, the RNG κ-ε and realizable κ-ε models provided better agreement with the experimental data for the range of particles considered. The Eulerian approach used in this study combines an overlapped technique with a particle-wall collision model to better present the particle-wall momentum transfer than traditional Eulerian models. In comparing to the Lagrangian and Eulerian approaches for particle flow predictions, the latter was shown to yield closer agreement with the measured values.

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“…Bourloutski et al (2002) later verified both approaches in turbulent gas-particle flows with heat transfer in a pipe.…”

Section: Introductionmentioning

confidence: 76%

Numerical Simulation and Validation of Dilute Gas-Particle Flow Over a Backward-Facing Step

Tian

Yeoh

2005

Aerosol Science and Technology

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“…The Largangain method provides much more advantages in modelling of dispersed two-phase flows as compared to other well-know methods such as mixed, two-fluid, VOF, level set and their modifications. 23 The Lagrangian approach resolves the motion of droplets in the continuous fluid flow field by taking of all relevant forces into account. This approach considers the droplet phase as a collection of individual discrete particles of certain size represented by centres of spheres.…”

Section: Resultsmentioning

confidence: 99%

Numerical Analysis of Oil-Water Two-Phase Flow in Pipe Systems

Burlutskii¹

2017

IPCSE

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“…The influence of the addition to the model of conduction heat transfer due to particle-wall collisions is discussed for two multiple impinging jets cases with similar flow and geometric parameters as reported for Yokomine et al's experiments. 12 In Figure 2, the local heat-transfer 6) dA dt coefficient is plotted as a function of dimensionless length (X/W) for two nondimensional jet separation spacing (L/W) values, L/W ) 5 and L/W ) 7. The total heat-transfer rate, Q, over the entire impingement surface (because the confinement surface is wellinsulated) is also plotted for two L/W values with and without inclusion of the conduction heat transfer between the particles and the wall in the model (viz., WS and WOS conditions, respectively) (Figure 3).…”

Section: Resultsmentioning

confidence: 99%

“…The results were compared with available experimental data, and although the model performed well, it was inadequate at high loading ratio. Bourloutski et al compared two theoretical approaches (viz., Eulerian−Eulerian modeling and the Eulerian−Lagrangian approach) for the numerical investigation of turbulent gas−solid flows with heat transfer in a pipe . These studies indicated good predictive properties of the models for turbulent gas−particle suspension flow.…”

Section: Introductionmentioning

confidence: 85%

Parametric Study of Heat Transfer in Turbulent Gas−Solid Flow in Multiple Impinging Jets

Shi

Mujumdar

Ray

2003

Ind. Eng. Chem. Res.

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Heat transfer in a dilute gas−particle suspension flow in multiple-slot impinging jets has been numerically investigated using a new Eulerian−Lagrangian method that accounts for conduction heat transfer due to particle−wall collisions. The numerical results are compared with available experimental data. Good agreement between experiment and simulation is obtained only if the additional conduction heat transfer due to particle−wall collisions is considered in the model. The effects of particle diameter, particle material properties and loading ratios, jet Reynolds number, impingement wall temperature, and direction of the gravitation vector on heat transfer are discussed.

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The comparison of two approaches to numerical modelling of gas-particles turbulent flow and heat transfer in a pipe

Cited by 7 publications

References 9 publications

Numerical Simulation and Validation of Dilute Gas-Particle Flow Over a Backward-Facing Step

Numerical Simulation and Validation of Dilute Gas-Particle Flow Over a Backward-Facing Step

Numerical Analysis of Oil-Water Two-Phase Flow in Pipe Systems

Parametric Study of Heat Transfer in Turbulent Gas−Solid Flow in Multiple Impinging Jets

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