Abstract
Particle fluctuation and gas turbulence in dense gas-particle flows are less studied due to complexity of the phenomena. In the present study, simulations of gas turbulent flows passing over a single particle are carried out first by using RANS modeling with a Reynolds stress equation turbulence model and sufficiently fine grids, and then by using LES. The turbulence enhancement by the particle wake effect is studied under various particle sizes and relative gas velocities, and the turbulence enhancement is found proportional to the particle diameter and the square of velocity. Based on the above results, a turbulence enhancement model for the particle-wake effect is proposed and is incorporated as a sub-model into a comprehensive two-phase flow model, which is then used to simulate dilute gas-particle flows in a horizontal channel. The simulation results show that the predicted gas turbulence by using the present model accounting for the particle wake effect is obviously in better agreement with the experimental results than the prediction given by the model not accounting for the wake effect. Finally, the proposed model is incorporated into another two-phase flow model to simulate dense gas- particle flows in a downer. The results show that the particle wake effect not only enhances the gas turbulence, but also amplifies the particle fluctuation.
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Abbreviations
- U :
-
mean velocity
- u, v :
-
fluctuating velocity
- uu :
-
Reynolds stress
- d p :
-
particle diameter
- k :
-
kinetic energy
- α p :
-
particle volume fraction
- ρ :
-
density
- β :
-
drag coefficient
- ε :
-
kinetic energy dissipation rate
- P :
-
mean pressure
- Θ:
-
mean pseudo-temperature
- θ :
-
fluctuating pseudo-temperature
- τ :
-
stress
- “—”:
-
averaged value
- p:
-
particle
- g:
-
gas
- f:
-
fluid
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The project supported by the National Natural Science Foundation of China (50606026 and 50736006).
The English text was polished by Yunming Chen.
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Zhou, L., Zeng, Z. Studies on gas turbulence and particle fluctuation in dense gas-particle flows. Acta Mech Sin 24, 251–260 (2008). https://doi.org/10.1007/s10409-008-0156-z
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DOI: https://doi.org/10.1007/s10409-008-0156-z