User:Hoogs/buoyantPisoFoam
Contents
1 Overview
The buoyantPisoFoam solver is suitable for unsteady, compressible flow and includes the gravitational body force on the fluid. The Richardson number is a dimensionless measure of the importance of buoyancy in a flow.
2 Nomenclature
p | pressure | |
rho | density | |
h | enthalpy | |
phi | mass flux through face, | |
alphaEff | effective turbulent thermal diffusivity | |
sourceEnthalpy | enthalpy source in continuous phase resulting from particles | |
sourceMomentum | momentum source in continuous phase resulting from particles | |
psi | compressibility | |
muEff | effective viscosity | |
turbulent viscosity | ||
mu | laminar molecular viscosity | |
divRhoR | Reynolds stresses | |
nParticle | Number of particles in dispersed phase parcel | |
mass0 | Mass of particles in dispersed phase parcel | |
U0 | Velocity of dispersed phase parcel at beginning of time step | |
U1 | Velocity of dispersed phase parcel at end of time step | |
T0 | Temperature of dispersed phase parcel at beginning of time step | |
T1 | Temperature of dispersed phase parcel at end of time step | |
cp0 | Specific heat capacity of dispersed phase parcel | |
Difference operator acting on a parameter that changes during a timestep, e.g. | ||
Difference operator acting on a parameter common to the continuous (c) and dispersed (d) phases, e.g. |
3 Momentum
The primary Navier Stokes equation is for the transport of momentum with sources and sinks.
File: OpenFOAM-1.6/applications/solvers/heatTransfer/buoyantPisoFoam/UEqn.H |
fvVectorMatrix UEqn ( fvm::ddt(rho, U) + fvm::div(phi, U) + turbulence->divDevRhoR(U) ); UEqn.relax(); solve(UEqn == -fvc::grad(p) - fvc::grad(rho)*gh); |
We note that the mass flux is on hard-wired linear interpolation from cell centres to faces,
File: OpenFOAM-1.6.x/src/finiteVolume/cfdTools/compressible/compressibleCreatePhi.H |
surfaceScalarField phi ( IOobject ( "phi", runTime.timeName(), mesh, IOobject::READ_IF_PRESENT, IOobject::AUTO_WRITE ), linearInterpolate(rho*U) & mesh.Sf() ); |
4 Mass
Conservation of mass provides a relation between the local rate of change of density and the degree to which the local mass flux is acting as a source or sink.
File: OpenFOAM-1.6/src/finiteVolume/cfdTools/compressible/rhoEqn.H |
{ solve(fvm::ddt(rho) + fvc::div(phi)); } |
5 Energy
Actually the more general concept of enthalpy is used. This is more relevant for gases and chemical reactions because it accounts for internal energy and the work done by the system, or in other words kinetic and potential energy.
File: applications/solvers/heatTransfer/buoyantPisoFoam/hEqn.H |
{ solve ( fvm::ddt(rho, h) + fvm::div(phi, h) - fvm::laplacian(turbulence->alphaEff(), h) == DpDt ); hEqn.relax(); hEqn.solve(); thermo.correct(); } |
6 Turbulence
6.1 Momentum source
The Reynolds stresses are estimated ^{[1]} via the tensor
because the trace of the symmetric component of a tensor is just the trace of the original tensor,
File: OpenFOAM-1.6/src/turbulenceModels/compressible/RAS/kOmegaSST/kOmegaSST.C |
273 tmp<volSymmTensorField> kOmegaSST::R() const 274 { 275 return tmp<volSymmTensorField> 276 ( 277 new volSymmTensorField 278 ( 279 IOobject 280 ( 281 "R", 282 runTime_.timeName(), 283 mesh_, 284 IOobject::NO_READ, 285 IOobject::NO_WRITE 286 ), 287 ((2.0/3.0)*I)*k_ - (mut_/rho_)*dev(twoSymm(fvc::grad(U_))), 288 k_.boundaryField().types() 289 ) 290 ); 291 } |
The divergence of the product appearing in the momentum equations is estimated as
File: OpenFOAM-1.6/src/turbulenceModels/compressible/RAS/kOmegaSST/kOmegaSST.C |
314 tmp<fvVectorMatrix> kOmegaSST::divDevRhoReff(volVectorField& U) const 315 { 316 return 317 ( 318 - fvm::laplacian(muEff(), U) - fvc::div(muEff()*dev2(fvc::grad(U)().T())) 319 ); 320 } |
For reference,
7 PISO
The non linearity of the convective term of the momentum equation requires an iterative solution technique if we do not wish to be limited to small time steps. But while the momentum equation provides a way to find the velocity in terms of the pressure gradient, we need some way to determine the pressure as we iterate. In the Pressure-Implicit Split-Operator (PISO) approach, we formulate a linear relationship between the pressure gradient and the velocity in order to obtain a prediction of the velocity (which violates mass conservation), then apply the mass conservation requirement in order to obtain a pressure field that is mass conservative so that it can be fed back to obtain a corrected velocity field. At the same time, we correct for face skewness by updating the mass fluxes at cell faces with the new pressure field.
The momentum equation is discretised to obtain
where represents the square matrix system of coefficients and a source vector over discrete locations,
The and are then modified to decompose into a diagonal matrix and new square source matrix
Multiplying both sides by the inverse of yields the momentum corrector equation
Applying mass conservation, we obtain the pressure corrector equation
This is solved to provide a pressure field inserted into a flux corrector equation
7.1 Algorithm
Step | Equations | Code | Comments | |
---|---|---|---|---|
1 | Accept , and require | while (runTime.loop()) { ... } |
The "old" values go into the loop, either initialised in createFields.H or provided by previous time step. | |
2 | fvVectorMatrix UEqn ( fvm::ddt(rho, U) + fvm::div(phi, U) + turbulence->divDevRhoR(U) ); |
Assemble the LHS of the momentum equation and discretise it into matrix form using the vector calculus schemes in fvSchemes. | ||
3 | UEqn.relax(); if (momentumPredictor) { solve ( UEqn == fvc::reconstruct ( fvc::interpolate(rho)*(g & mesh.Sf()) - fvc::snGrad(p)*mesh.magSf() ) ); } |
This predictor step uses the old pressure and so while momentum conservation is satisfied, mass conservation is normally not satisfied. In some cases (e.g. low Re flow), switching off this momentum predictor via the switch in fvSolution can improve solution speed. Notice that the LHS is formulated in implicit (matrix) terms (i.e. fvm:: while the RHS terms are explicit (i.e. fvc::). The equation is therefore solved implicitely. |
7.2 References
- ↑ Ferziger, J. H. and Peric, M., Computational Methods for Fluid Dynamics, 3rd Edition, Springer, 2002, Eqn. 9.40