Numerical Simulation for a Backward-Facing Step Two-Phase Flow Using TOMTM

2014 ◽  
Vol 668-669 ◽  
pp. 314-317
Author(s):  
Jiang Rong Xu ◽  
Jin Fang Gao ◽  
Lu Wang
Keyword(s):  
Numerical Simulation ◽  
Transport Equation ◽  
Correlation Coefficient ◽  
Two Phase Flow ◽  
Order Moment ◽  
Phase Flow ◽  
Backward Facing Step ◽  
Two Phase ◽  
Trajectory Model ◽  
Anisotropic Turbulence

Based on the PDF transport equation of particle, Using both non-isotropic correlation coefficient and isotropic correlation coefficient, the two-order moment trajectory model of particles (TOMTM) is used to simulate the backward-facing step two-phase flow. It is shown that the isotropic correlation coefficient of TOMTM can simulate the anisotropic turbulence of particle better.

Two-Order Moment Trajectory Model of Two-Phase Turbulence Flow Based on Particle PDF Transport Equation

2014 ◽  
Vol 668-669 ◽  
pp. 318-321 ◽  
Author(s):  
Jiang Rong Xu ◽  
Lu Wang
Keyword(s):  
Transport Equation ◽  
Two Phase Flow ◽  
Statistical Characteristics ◽  
Order Moment ◽  
Phase Flow ◽  
Two Phase ◽  
Trajectory Model ◽  
Turbulence Flow

Based on the PDF transport equation of particle, a two-order moment trajectory model of particles (TOMTM) is proposed to obtain reasonable statistical characteristics of a two-phase flow. Using the method proposed by Risken, It is shown that TOMTM is just the solution of the particles PDF equation

scholarly journals Accelerated explicit-implicit algorithms for the simulation of two-phase flow toward a horizontal multistage hydraulically fractured well

2017 ◽  
pp. 204-213
Author(s):  
М.Р. Хамидуллин ◽  
А.Б. Мазо
Keyword(s):  
Numerical Simulation ◽  
Transport Equation ◽  
Two Phase Flow ◽  
Approximation Schemes ◽  
Phase Flow ◽  
Computational Domain ◽  
Two Phase Flows ◽  
Courant Number ◽  
Two Phase ◽  
Fractured Well

Представлены явно-неявные алгоритмы ускорения счета для решения трехмерной задачи двухфазной фильтрации вблизи горизонтальной скважины, пересеченной трещиной многостадийного гидроразрыва пласта. Ускорение достигается за счет ввода локальных зон, в каждой из которых применяется, в зависимости от локального числа Куранта, явная либо неявная схема для уравнения переноса насыщенности. Explicit-implicit approximation schemes for the numerical simulation of 3D two-phase flows toward a horizontal multistage hydraulically fractured well are proposed. This approach is based on the division of the computational domain into local subdomains and on using either an explicit or implicit scheme for the saturation transport equation with consideration of a local Courant number.

scholarly journals Investigations of Gas–Particle Two-Phase Flow in Swirling Combustor by the Particle Stokes Numbers

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 951
Author(s):  
Yang Liu ◽  
Guohui Li
Keyword(s):  
Two Phase Flow ◽  
Particle Diameter ◽  
Tangential Direction ◽  
Stokes Number ◽  
Order Moment ◽  
Frictional Stress ◽  
Phase Flow ◽  
Two Phase ◽  
Close Relationship ◽  
Experimental Validations

Gas turbulence modulations and particle dispersions of swirling gas–particle two-phase flow in the combustor is investigated under the large spans of the particle Stokes numbers. To fully consider the preferential concentrations and anisotropic dispersions of a particle, a kinetic frictional stress model coupled with a second-order moment two-phase turbulent model and granular temperature equation is improved. The proposed modeling and simulations are in good agreement with the experimental validations. Results show turbulent modulations and particle dispersions exhibit strongly anisotropic characteristics, keeping a close relationship with flow structure. The axial gas velocity and RMS fluctuation velocity of 45.0-μm EGP was approximately 5.0 times and 3.0 times greater than 1000.0 μm Copper particles, and their axial particle velocity was 0.25 times and twice greater than those of 45.0 μm EGP. The degree of modulation in the axial–radial direction is larger than those of radial–tangential and axial–tangential direction. Particle dispersions are sensitive to particle diameter parameters and intensified by higher Stokes number.

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