Discretization
The following inputs must be preceded by “mfix.”
Key |
Description |
Type |
Default |
|---|---|---|---|
advection_type |
Predictor-Corrector Method of Lines (“mol”) or Godunov (“godunov”) |
String |
Godunov |
redistribution_type |
Use flux (“FluxRedist”), state (“StateRedist”) or no (“NoRedist”) redistribution |
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 |
deposition_redist_type |
Redistribute excess solids using max packing (“MaxPack”) or state (“StateRedist”) algorithms. |
String |
MaxPack |
deposition_redist_vfrac |
The threshold cell volume fraction when using “StateRedist” for deposition redistribution. |
Real |
0.1 |
Notes: The code was originally developed with MOL and FluxRedist. Preliminary tests show that the new single-step Godunov method is roughly twice as fast as the predictor-corrector MOL at the same time step (e.g., CFL limited to 0.5). Further, the Godunov method allows for roughly twice the time step, CFL should be limited to 0.9 for stability. Finally, it is recommended that the Godunov method be used in conjunction with StateRedist. While not fully vetted, early tests also show increased stability in complex geometries for a StateRedist- Godunov scheme compared to the previous FluxRedist-MOL scheme.