Fluctuation Velocity Correlation Closure Model for
Dense Gas-Particle Turbulent Flow

doi:10.1007/s12204-012-1303-z

Abstract

Abstract: Turbulence model of kg-εg-kp-εp-kpg-θ is proposed. In the model, the two-phase velocity correlation turbulent kinetic energy kpg is modeled by transport equation. To close this turbulence model, algebraic expressions of two-phase Reynolds stresses and two-phase velocity correlation variable are established by considering both gas-particle interaction and anisotropy. This turbulence model is used to simulate dense gas-particle flow in a riser and in a downer. The predicted results show the core-annulus flow structure observed in the riser and the skin effect of particle concentration in the downer. The present model gives simulation results in much better agreement with the experimental results than those obtained by kg-εg-kp-εp-θ model which is simply closed using a semi-empirical dimensional analysis.

Key words: gas-particle flows| turbulence model| numerical simulation

摘要： Turbulence model of kg-εg-kp-εp-kpg-θ is proposed. In the model, the two-phase velocity correlation turbulent kinetic energy kpg is modeled by transport equation. To close this turbulence model, algebraic expressions of two-phase Reynolds stresses and two-phase velocity correlation variable are established by considering both gas-particle interaction and anisotropy. This turbulence model is used to simulate dense gas-particle flow in a riser and in a downer. The predicted results show the core-annulus flow structure observed in the riser and the skin effect of particle concentration in the downer. The present model gives simulation results in much better agreement with the experimental results than those obtained by kg-εg-kp-εp-θ model which is simply closed using a semi-empirical dimensional analysis.

关键词: gas-particle flows| turbulence model| numerical simulation

CLC Number:

O 36

ZENG Zhuo-xiong (曾卓雄), CHEN Chao-jie (陈超杰). Fluctuation Velocity Correlation Closure Model for Dense Gas-Particle Turbulent Flow[J]. Journal of shanghai Jiaotong University (Science), 2012, 17(4): 447-451.

References

[1] Liu Y, Li G H, Sirpa K. Hydrodynamic modeling of dense gas-particle turbulence flows under microgravity
space environments [J]. Microgravity Science and Technology, 2011, 23(1): 1-11.
[2] Zhou L X. Second-order moment modeling of dispersed two-phase turbulence. Part 2. USM-θ two-phase turbulence model and USM-SGS two-phase stress
model [J]. Science China Physics, Mechanics & Astronomy,2011, 54(7): 1296-1303.
[3] Xiang J S, Mcglinchey D, Latham J P. An investigation of segregation and mixing in dense phase pneumatic
conveying [J]. Granular Matter, 2010, 12(4):345-355.
[4] Wang Q C, Zhang K, Gu H Y. CFD simulation of pressure fluctuation characteristics in the gassolid
fluidized bed: Comparisons with experiments [J].Petroleum Science, 2011, 8(2): 211-218.
[5] Cheng Y, Guo Y C, Wei F, et al. Modeling the hydrodynamics of downer reactors based on kinetic theory
[J]. Chemical Engineering Science, 1999, 54(13-14): 2019-2027.
[6] Zheng Y, Wan X T, Qian Z, et al. Numerical simulation of the gas-particle turbulent flow in riser reactor
based on k-ε-kp-εp-θ two-fluid model [J]. Chemical Engineering Science, 2001, 56(24): 6813-6822.
[7] Yu Y, Zhou L X, Wang B G, et al. A USM-θ two-phase turbulence model for simulating dense gasparticle
flows [J]. Acta Mechanica Sinica, 2005, 21(2):228-234.
[8] Zeng Z X, Zhou L X, Zhang J. A two-scale secondorder moment two-phase turbulence model for simulating
dense gas-particle flows [J]. Acta Mechanica Sinica,2005, 21(5): 430-435.
[9] Zhou Li-xing. Dynamics of multiphase turbulent reacting fluid flows [M]. Beijing: National Defense Industry Press, 2002 (in Chinese).
[10] Gidaspow D. Multiphase flow and fluidization: Continuum and kinetic theory descriptions [M]. New York:Academic Press, 1994.
[11] Horio M, Morishita K, Tachibana O, et al. Solid distribution and movement in circulating fluidized
beds [C]// International Conference Proceedings of Circulating Fluidized Bed Technology II. Oxford: Pergamon Press, 1988.
[12] Wang Z, Bai D, Jin Y. Hydrodynamics of cocurrent down flow circulating fluidized bed (CDCFB) [J]. Powder Technology, 1992, 70(3): 271-275.

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Fluctuation Velocity Correlation Closure Model for Dense Gas-Particle Turbulent Flow

Fluctuation Velocity Correlation Closure Model for Dense Gas-Particle Turbulent Flow

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