Model options

The following inputs are defined using the mfix prefix.

Description

Type

Default

gravity

Gravity vector [required]

Reals

0 0 0

advect_density

Flag to enable time evolution of fluid density.

int

0

advect_enthalpy

Flag to enable time evolution of fluid temperature and enthalpy.

int

0

solve_species

Flag to enable the time evolution of fluid species mass fractions.

int

0

constraint_type

Select low Mach number constraint.

  • IncompressibleFluid constraint is appropriate for cold flow systems that do not have chemical reactions. Fluid temperature and species mass fractions act as passive tracers if advected.

  • IdealGasOpenSystem constraint is used if the physical domain contains at least one pressure outflow boundary condition. The specified outflow (ambient) pressure is maintained so that the thermodynamic pressure is constant.

  • IdealGasClosedSystem constraint is used for systems that are fully periodic or completely closed with no inflow / outflow boundaries. The thermodynamic pressure evolves in time to balance processes like chemical reactions.

string

IncompressibleFluid

Note

The thermodynamic pressure is a scalar value, not a scalar field. This is a consequence of the low Mach number assumption.

Fluid discretization

The following inputs are defined using the mfix prefix.

Key

Description

Type

Default

advection_type

Advection scheme

  • mol Predictor-Corrector Method of Lines. MAC velocities and edge states are extrapolated in space.

  • godunov Godunov. MAC velocities and edge states are extrapolated in space and time using a second-order Taylor series expansion.

string

Godunov

redistribution_type

Algorithms to address the ‘small cell problem’ associated with explicit cut-cell algorithms.

String

StateRedist

redistribute_before_nodal_proj

Redistribute the velocity field before the nodal projection

Bool

True

redistribute_nodal_proj

Redistribute the velocity field after the nodal projection

Bool

False

use_drag_coeff_in_proj_gp

Algebraically consistent p coeff in proj or (default) simplified form

Bool

False

use_drag_in_godunov

Include a drag term in the Godunov flux or (default) not

Bool

False

correction_small_volfrac

Threshold volume fraction for correcting small cell velocity at the end of the predictor and corrector

Real

1.e-4

Additional available constraints

Additional constraints may be imposed on problems which are under-determined such as particle settling in a fully periodic domain. Currently, only particle constraints are supported.

The following inputs are defined using the particles prefix.

Description

Type

Default

constraint

Constraint type. Available options include:

  • ‘mean_velocity’

String

None

For the mean_velocity constraint, the following inputs can be defined.

Description

Type

Default

mean_velocity_x

mean particle velocity in dir=0

Real

Undefined

mean_velocity_y

mean particle velocity in dir=1

Real

Undefined

mean_velocity_z

mean particle velocity in dir=2

Real

Undefined

Below is an example for zero mean particle velocity in all three directions.

particles.constraint = "mean_velocity"

particles.constraint.mean_velocity_x = 0.
particles.constraint.mean_velocity_y = 0.
particles.constraint.mean_velocity_z = 0.

In the above example, at the end of each (fluid) time step, the global mean particle velocity is computed in each direction, then subtracted from each particle’s velocity vector so that the mean particle velocity for the system is zero.

Deposition scheme

The following inputs are defined using the mfix prefix.

Description

Type

Default

deposition_scheme

The algorithm used to transfer particle properties to the Eulerian grid. An overview of the schemes is provided below.

  • centroid

  • trilinear

  • true-dpvm

  • trilinear-dpvm-square

String

trilinear

deposition_scale_factor

The deposition scale factor.

Applicable only with true-dpvm and trilinear-dpvm-square deposition schemes. The value must be in the intervarl \([0,\Delta x/2]\) where \(\Delta x\) is the mesh spacing.

Real

1.0

deposition_diffusion_coeff

If a positive value is set, a diffusion equation with this diffusion coefficient is solved to smooth deposited quantities.

Real

-1.0

In the following subsections, the four deposition methods are briefly described and illustrated.

Centroid

The centroid deposition scheme transfers particle properties, for example volume, to the Eulerian grid cell containing its center. Illustrated in two-dimensions below, the particle center is in the upper-right cell; therefore, the deposition weight for that cell is 1 and all other weights are zero.

visual demonstration of centroid deposition

Fig. 5 Example of centroid deposition.

Trilinear

Trilinear deposition transfers particle properties to the eight Eulerian grid cells surrounding its center. First, low and high weights are calculated for each direction, then they are multiplied together to form eight composite weights. The following figure illustrates bilinear interpolation. The left image shows weights computed in the X-direction, \([0.15, 0.85]\), and the center image shows weights computed in the Y-direction, \([0.25,0.75]\). The right image shows the composite weights for the four cells that comprise the 2D neighborhood surrounding the particle.

visual demonstration of trilinear deposition

Fig. 6 Example of trilinear deposition.

True-DPVM

The “true” divided particle volume method (DPVM) calculates the actual volume of a particle in each cell by computing the intersection between the grid cell faces and the particle. The fractional volume (volume inside the cell divided by total particle volume) is used as the deposition weight. If the deposition_scale_factor is defined, it multiplies the particle radius increasing the effective area to transfer properties over. The true-DPVM scheme is illustrated below where the dashed line represents the scaled particle radius. The grown particle intersects the top two and lower-right cells. Since the grown particle does not intersect the lower-left cell, it has a deposition weight of zero.

visual demonstration of true divided particle volume deposition

Fig. 7 Example of true-dpvm deposition.

Trilinear DPVM square

The trilinear DPVM square method is similar to the trilinear scheme in that low and high weights are computed for each direction, then multiplied together to give a composite weight for each of the eight cells in the neighborhood. The primary distinction is that the fractional volume cut by the grid cell face for each direction is used to calculate the low and high weights. If the deposition_scale_factor is defined, it multiplies the particle radius increasing the effective area to transfer properties over. In the below figure, the left image shows the X-direction weights, and the center image shows the Y-direction weights. The right image shows the resulting composite weights.

visual demonstration of true divided particle volume deposition

Fig. 8 Example of trilinear dpvm square deposition.

Deposition redistribution

The following inputs are defined using the mfix prefix.

Key

Description

Type

Default

deposition_redist_type

Algorithm used to redistribute excess solids to adjacent cells. This typically applies only to small cut-cells along the geometry.

  • MaxPack If the solids volume fraction exceeds the prescribed max_solids_volume_fraction, then the local average solids volume is computed and solids volume exceeding the average is reallocated to adjacent cells. The fraction of redistributed solids is applied to all transferred properties.

  • StateRedist Use the state redistribution algorithm of [BG21, GAB+22] to reallocate transferred quantities in small cells.

String

MaxPack

max_solids_volume_fraction

Threshold solids volume fraction for MaxPack redistribution. Redistribution of transferred quantities only occurs when the solids volume fraction of a cell exceeds this value.

Real

0.6

deposition_redist_vfrac

Threshold geometric volume fraction StateRedist redistribution. Redistribution of transferred quantities always occurs for cells with a geometric volume fraction below this value.

Real

0.1

Drag models

The following input is defined using the mfix prefix.

Description

Type

Default

drag_type

Fluid-particle drag model.

String

None

Note

The UserDrag keyword is used to invoke a user defined drag model. This is accomplished by copying src/usr/usr_drag.cpp file into the build directory, implementing the desired drag model, and recompiling the code. An example can be found in tests/DEM06-x.

Heat transfer coefficients

The following input is defined using the mfix prefix.

Description

Type

Default

convection_type

Fluid-particle heat transfer coefficient model.

String

None