A new formulation of the Large Eddy Simulation composition equations for two-phase fully-multicomponent turbulent flows

2011 ◽  
Vol 50 (1) ◽  
pp. 94-103
Author(s):  
Michael Gloor ◽  
Josette Bellan
Keyword(s):  
Large Eddy Simulation ◽  
Turbulent Flows ◽  
Two Phase ◽  
Eddy Simulation ◽  
Large Eddy ◽  
New Formulation

Large Eddy Simulation of Gas-Liquid Two-Phase Flow for a Nested Type Fixed-Cone Valve

2012 ◽  
Vol 170-173 ◽  
pp. 2458-2463
Author(s):  
Y.L. Liu ◽  
B. Lv ◽  
W.L. Wei
Keyword(s):  
Large Eddy Simulation ◽  
Turbulent Flows ◽  
Free Fluid ◽  
Step Method ◽  
Fractional Step Method ◽  
Two Phase ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Volume Method ◽  
Free Fluid Surface

large eddy simulation cooperated with a physical fractional-step method is applied to simulate steady flow around a nested type fixed-cone valve; and the equations are solved with the finite volume method. The free fluid surface is simulated by the VOF method. The pressure contours and vorticity magnitude are obtained. The modeling results conform to physical law, and show that the large eddy simulation theory has powerful capacity in simulation of microstructures of turbulent flows, and the function of the nested type fixed-cone valve for energy dissipating is good.

EVALUATION OF PARTICLE STOCHASTIC SEPARATED FLOW MODELS VIA LARGE EDDY SIMULATION

2010 ◽  
Vol 21 (07) ◽  
pp. 867-890 ◽  
Author(s):  
BING WANG ◽  
HUIQIANG ZHANG ◽  
XILIN WANG
Keyword(s):  
Time Series ◽  
Large Eddy Simulation ◽  
Turbulent Flows ◽  
Spatial Dispersion ◽  
Computational Cost ◽  
Separated Flow ◽  
Particle Dispersion ◽  
Two Phase ◽  
Eddy Simulation ◽  
Large Eddy

This paper evaluates three widely used particle stochastic separated flow (SSF) models through large eddy simulation (LES) of gas-particle two-phase turbulent flows over a backward-facing step. The ability of the models to predict mean velocities, fluctuating velocities, and spatial dispersion of particles are carefully examined in comparison with LES reference results. Evaluation shows that the improved time-series SSF model produces good predictions on mean and fluctuating velocities in the particle phase which highly agree with LES results. However, the time-series SSF model has higher computational cost. Further, compared with the two other models, the time-series SSF model predicts better results on the spatial dispersion of particles. It has an overall advantage in terms of accuracy and efficiency in predicting velocity moments and particle dispersion even without the presence of so many particles. The dependence of different SSF models on the number of computational particles in a converged flow field is also discussed. This paper is useful for the selection and application of SSF models in numerical simulations of practical two-phase turbulent flows.

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