A USM-Θ two-phase turbulence model for simulating dense gas-particle flows

2005 ◽  
Vol 21 (3) ◽  
pp. 228-234 ◽  
Author(s):  
Yong Yu ◽  
Lixing Zhou ◽  
Baoguo Wang ◽  
Feipeng Cai
Keyword(s):  
Turbulence Model ◽  
Dense Gas ◽  
Two Phase ◽  
Particle Flows

Two-phase turbulence models for simulating dense gas–particle flows

Particuology ◽  
2014 ◽  
Vol 16 ◽  
pp. 100-107 ◽  
Author(s):  
Lixing Zhou ◽  
Yong Yu ◽  
Feipeng Cai ◽  
Zhuoxiong Zeng
Keyword(s):  
Turbulence Models ◽  
Dense Gas ◽  
Two Phase ◽  
Particle Flows

A Nonlinear k-ε-kp Two-Phase Turbulence Model

2003 ◽  
Vol 125 (1) ◽  
pp. 191-194 ◽  
Author(s):  
L. X. Zhou ◽  
H. X. Gu
Keyword(s):  
Kinetic Energy ◽  
Turbulent Kinetic Energy ◽  
Turbulence Model ◽  
Computation Time ◽  
Second Order ◽  
Phase Correlation ◽  
Order Moment ◽  
Reynolds Stresses ◽  
Two Phase ◽  
Particle Flows

Nonlinear relationships of two-phase Reynolds stresses with the strain rates together with the transport equations of gas and particle turbulent kinetic energy and the two-phase correlation turbulent kinetic energy are proposed as the nonlinear k-ε-kp turbulence model. The proposed model is applied to simulate swirling gas-particle flows. The predicted two-phase time-averaged velocities and Reynolds stresses are compared with the PDPA measurements and those predicted using the second-order moment model. The results indicate that the nonlinear k-ε-kp model has the modeling capability near to that of the second-order moment model, but the former can save much computation time than the latter.

Numerical Simulation of Flow in a Horizontal Sedimentation Tank

2011 ◽  
Vol 130-134 ◽  
pp. 3624-3627
Author(s):  
W.L. Wei ◽  
Zhang Pei ◽  
Y.L. Liu
Keyword(s):  
Numerical Simulation ◽  
Flow Field ◽  
Secondary Flow ◽  
Mixture Model ◽  
Turbulence Model ◽  
Two Phase ◽  
Sedimentation Tank ◽  
Phase Mixture ◽  
Good Agreement

In this paper, we use two-phase mixture model and the Realizable k-ε turbulence model to numerically simulate the advection secondary flow in a sedimentation tank. The PISO algorithm is used to decouple velocity and pressure. The comparisons between the measured and computed data are in good agreement, which indicates that the model can fully simulate the flow field in a sedimentation tank.

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