CFD Simulations AC3-12: Difference between revisions

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==Modelling of Particle Phase==
==Modelling of Particle Phase==
Details on the treatment  of  the  dispersed  phase  can  be  found  in
Sommerfeld and Qiu (1993). Here only a brie summary of the main  issues
is given. The converged solution of the gas flow field was used for the
simulations of the particle phase based on a Lagrangian formulation  of
the basic equations, and a stochastic model was used for simulation the
interaction of  the  particles  with  the  fluid  turbulence.  For  the
calculation of the particle phase mean properties, a  large  number  of
particles were traced through the flow field, typically around 100,000.
In order to take into account the effect of the wide size  spectrum  of
the  glass  beads  used  in  the  experiments  on  the  particle  mean
velocities, the velocity fluctuations, and the dispersion process,  the
numerical calculations were performed  considering  the  particle  size
distribution.
The effect of the particle phase on the fluid flow was neglected in the
present calculations since  only  very  small  particle  loadings  were
considered (see Table 1).  Furthermore,  some  simplifications  in  the
equation of motion for the particles have been made, since a  gas-solid
two-phase flow with a density  ratio  of  [pic]  was  considered.  This
implies that the added mass effect and the Basset  history  force  have
been neglected in the present calculations. As a consequence  only  the
drag force, considering a non-linear term for higher particle  Reynolds
numbers, and the gravity force were taken into account.
The equations of motion were solved by an explicit Euler method,  where
the maximum allowable time step  was  set  to  be  10  percent  of  the
following characteristic time scales:


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Revision as of 10:00, 12 February 2013

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice

Particle-laden swirling flow

Application Challenge AC3-12   © copyright ERCOFTAC 2013

Overview of CFD Simulations

Detailed numerical calculations were also performed by Sommerfeld et al. (1992) and Sommerfeld and Qiu (1993) using the two-dimensional axially-symmetric Euler/Lagrange approach without two-way coupling. The fluid flow calculation is based on the time-averaged Navier-Stokes equations in connection with a closure assumption for the turbulence modelling. The solution of the above equations is obtained by using the so-called FASTEST-code (Dimirdzic and Peric, 1990) which incorporates the well-known k-ε two-equation turbulence model and uses a finite- volume approach to descretize the equations. In order to minimize the effects of numerical diffusion in the present calculations, the quadratic, upwind-weighted differencing scheme (QUICK) was used for differencing the convection terms. Furthermore, flux-blending techniques, where the convective flux can be calculated as a weighted sum of the flux expressions from the "upwind" and QUICK differencing schemes (Peric et al., 1988), was used to avoid instabilities and convergence problems that sometimes appear when using higher order schemes. The choice of the solution procedure described above was based on the recommendations of Durst and Wennerberg (1991) who also concluded that for moderate swirl intensities the k-( turbulence model performs reasonably well.

Computational Domain and Boundary Conditions Fluid Flow

The present calculations have been performed on a mesh of 80 by 78 grid points in the stream-wise and radial directions, respectively. For two- dimensional axis-symmetric calculations this grid resolution was found to be sufficient as demonstrated by Durst and Wennerberg (1991). The computational domain corresponds exactly to the experimental configuration given in Figure 1. However, in the stream-wise direction it was only extended up to 1.0 m downstream from the inlet. The applied inlet conditions correspond to the measured mean velocity components (i.e. available for all three components) and the measured turbulent kinetic energy. At the walls no-slip conditions were applied in connection with the standard wall function. At the outflow boundary zero-gradients have been assumed.

Modelling of Particle Phase

Details on the treatment of the dispersed phase can be found in Sommerfeld and Qiu (1993). Here only a brie summary of the main issues is given. The converged solution of the gas flow field was used for the simulations of the particle phase based on a Lagrangian formulation of the basic equations, and a stochastic model was used for simulation the interaction of the particles with the fluid turbulence. For the calculation of the particle phase mean properties, a large number of particles were traced through the flow field, typically around 100,000.

In order to take into account the effect of the wide size spectrum of the glass beads used in the experiments on the particle mean velocities, the velocity fluctuations, and the dispersion process, the numerical calculations were performed considering the particle size distribution.

The effect of the particle phase on the fluid flow was neglected in the present calculations since only very small particle loadings were considered (see Table 1). Furthermore, some simplifications in the equation of motion for the particles have been made, since a gas-solid two-phase flow with a density ratio of [pic] was considered. This implies that the added mass effect and the Basset history force have been neglected in the present calculations. As a consequence only the drag force, considering a non-linear term for higher particle Reynolds numbers, and the gravity force were taken into account.

The equations of motion were solved by an explicit Euler method, where the maximum allowable time step was set to be 10 percent of the following characteristic time scales:




Contributed by: Martin Sommerfeld — Martin-Luther-Universitat Halle-Wittenberg

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice


© copyright ERCOFTAC 2013