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January 20, 2012, 09:41 
conditional solving of transport equation

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I would like to set up a solver for a solidification process with solving a transport equation for a species only in the liquid phase of the sytem. There is a volScalarField alpha which defines the state of phase (0<alpha<1). alpha is the liquid fraction, alpha = 0 > complete solid. How can I define a solver which works only in the non solid part of the domain like: // definition of eq. {liqEqn = ....} // conditional solving of liqEqn if (alpha != 0) liqEqn.solve(); Is there somewhere a similar case/tutorial/documentation reference? thank you for advice, dzi (I use OF 2.01) 

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January 22, 2012, 14:10 

#2 
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David Gaden
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It is very difficult to only use portions of the mesh for the matrix solution in OpenFOAM. You'd probably have to create a new temporary mesh, and create new variables on it  then you'd have to create new boundaries where it is cutoff... Rather than that, you probably want to work with the full mesh, and modify the matrix so that the portion from the solid cells reduce to a trivial equation.
I'm thinking you could create a custom preconditioner for your matrix. I don't know exactly what you want to do to the matrix to achieve this, though.
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January 23, 2012, 04:35 

#3 
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Anton Kidess
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I think the easiest solution is to multiply all terms in the equation with alpha.
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January 24, 2012, 11:51 

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Alberto Passalacqua
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Quote:
volScalarField solveEq(pos(alphaalphaCutOff)); volScalarField doNotEq(1solveEq); which is 1 when alpha > alphaCutOff, and 0 elsewhere. Then there are two possible solutions, depending on what you are trying to do (momentum equation or scalar equation?)  Momentum equation: Code:
fvMatrix UEqn ( solveAlpha* ( //Put your equation here )+ doNotSolve* ( fvm::Sp(coeff,yourVariable) // Set the variable to zero or to a value here ) ); Code:
myEqn.setValues(...) Best,
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January 25, 2012, 04:47 

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thank you for the replies,
for me the easiest solution is the suggestion from akidess to multiply all, or parts of the equation with alpha. Looks like it can be solved and I get something out which makes sense. The other suggestions also sound interesting. I will try if I come to a limit with the first solution, but on the first glance they seem to be more sophisticated. Thank you again for helping on this topic! dzi 

January 25, 2012, 11:19 

#6  
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Alberto Passalacqua
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Quote:
If you are solving the momentum equation, you will also have to deal with the problem of the central coefficient going to zero, which will lead to a segmentation fault when you calculate H/A. You can check how this problem is addressed in compressibleTwoPhaseEulerFoam. Best,
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January 30, 2013, 02:57 
Solidification in OpenFOAM

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,...
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Hi
I am solving a binary alloy solidification problem with OpenFOAM. For the species equation, which seems to be the most critical equation especially at the region where channels form, I have used zero grad boundary conditions; which causes a flow into the wall. Have you guys also used grad(CL) = 0, and grad(C) = 0 at the boundaries? 

December 3, 2015, 09:04 
conditional solving of transport equation

#8 
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Alexander Nekris
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Hello dear foamers,
I want to revive this old thread with a new question. I wonder if it is possible in OpenFOAM to solve a transport equation only for cells whose variable values are larger than a certain value. Like: solve Eqn. only for values >0… Let me explain: I simulate a fluid consisting of two gas fractions gas1 and gas2. Gas2 does not cover the whole simulation domain but is present in places. So, basically, there are regions where the concentration of gas2 is zero. Consequently, the partial density rho of gas2 in those regions is zero too. In order to simulate a thermal nonequilibrium I need to solve the energy equation for both gases separately. I want to solve the energy equation for gas2 only for regions, where the density of gas2 is larger than a certain value (e.g. 10e9 or something…). My energy equation is taken from rhoCentralFoam, where the internal energy is solved in two steps: Step1: the predictor step without diffusion term: solve ( fvm::ddt(rhoE) + fvc::div(phiEp)  fvc::div(sigmaDotU) ); Than calculating internal energy and correcting boundary conditions: e = rhoE/rho  0.5*magSqr(U); e.correctBoundaryConditions(); thermo.correct(); rhoE.boundaryField() = rho.boundaryField()* ( e.boundaryField() + 0.5*magSqr(U.boundaryField()) ); Step2: the diffusion correction equation. if (!inviscid) { solve ( fvm::ddt(rho, e)  fvc::ddt(rho, e)  fvm::laplacian(turbulence>alphaEff(), e) ); thermo.correct(); rhoE = rho*(e + 0.5*magSqr(U)); } The predictor step is working just fine, but since I have to divide rhoE by rho of gas2 I understandably get the error, because there are cells in the simulation domain with rho = 0. What I did is: forAll(e, celli) { if (rho [celli] > 0.000001) { e [celli] = rhoE [celli]/rho [celli]  0.5*magSqr(U[celli]); } else { e [celli] = e [celli]*0.0; } } But I have my suspicion, that this technique is highly inefficient concerning the computational speed. The next problems occur by executing: e.correctBoundaryConditions(); and thermo.correct(); When executing the command “correctBoundaryConditions” the solver crashes with the following report: #0 Foam::error:rintStack(Foam::Ostream&) at ??:? #1 Foam::sigFpe::sigHandler(int) at ??:? ... … ... Floating point exception (core dumped) I took a look at “src/OpenFOAM/</SPAN>fields/</SPAN>GeometricFields/</SPAN>SlicedGeometricField/</SPAN>SlicedGeometricField.C</SPAN>”, where I suppose the function “correctBoundaryConditions” is defined, but my OpenFOAM knowledge is too little to understand the file. My questions are:  Is there a better way than using the “forAll” loop, like I did?  How could I handle the printStack error coming up by calling the correctBoundaryConditionsfunction? Many thanks in advance! </SPAN> 

December 3, 2015, 10:43 

#9 
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Olivier
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Hello,
I guess you should also loop over boundaryMesh, not only (internal) cells. regards, olivier 

December 3, 2015, 11:31 

#10 
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Alexander Nekris
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Hello Olivier, hello all.
Olivier, thank you for the quick reply. I just did it like this: Code:
forAll(e.boundaryField(), patchi) { fvPatchScalarField& ePatch = e.boundaryField()[patchi]; forAll(ePatch, facei) { if (rho[facei] > 0.000001) { e.correctBoundaryConditions(); } else { e[facei] = e[facei]*0.0; } } } It compiles just fine. The same problem appears with the command thermo.correct(). What I did there is: Code:
forAll(e, celli) { if (e[celli] > 0.000001) { thermo.correct(); } } It compiles also fine. I guess, that the function e.correctBoundaryConditions() is only executed for the particular cell “I” at each forAllloop and not over all boundary cells. Is it right? Because otherwise I would get the same error as without using forAll. The next challenge is the corrector step: Code:
solve ( fvm::ddt(rho, e)  fvc::ddt(rho, e)  fvm::laplacian(turbulence>alphaEff(), e) ); Here I have the same error as with the correctBoundaryConditions()function, namely: #0 Foam::error:rintStack(Foam::Ostream&) at ??:? #1 Foam::sigFpe::sigHandler(int) at ??:? ... … ... Floating point exception (core dumped) Is there some technique to solve this equation conditionally (for e > 0.00...)? Thanks in advance. Regards Alex 

February 22, 2017, 11:26 

#11  
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Kalpana Hanthanan Arachchilage
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Hi Alberto,
I know it's an old post. However, I have tried the method you mentioned below. My problem is a simulation of a nanodroplet. the particle movement is simulated as a concentration field which is only defined in liquid phase. So the transport equation has to be solved only in liquid phase. I have tried several methods, but particles tend to diffuse into vapor side. I tried the method you mentioned, by multiplying solveEq by the transport equation. As expected particles doesn't diffuse in to vapor side. but, it's not mass conserved. Do you have any idea, how to make it mass conserved? Thanking you in advance. Kalpana Quote:


March 4, 2017, 18:09 

#12 
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Paolo Capobianchi
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Hi kal1943335,
I am trying to tackle a similar problem, but different in physics. I have used a similar approach as the one suggested by Alberto and I have also noticed loss of mass. I think that is a matter of boundary conditions at the the liquigas interface. If you try to solve a PDE in a defined region, e.g. in the liquid phase, you should specify an interfacial condition for the variable you are solving. I was thinking about somethig like a zero flux. In other words, if C is the variable of interest, I would impose: n . grad(C) = 0 where n is the local unit vector normal to the interface. However, in order to do so, you should know the positon of the interface at each instant. Maybe a possible strategy would be to onsider an isovolume fraction surface and apply the BC's there. I am not totally sure it would work. I am still trying to sort this problem out. Best, Paolo 

March 4, 2017, 20:43 

#13  
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Arjun
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Quote:
Once you set up this way what you end up is number of points where Ap=0, and Src = 0. This Ap = 0 is a problem for linear solver, but since Src = 0 visit the Ap of the matrix and set Ap = 1.0E20 for all the Ap which are less than 1E20. Then next step is to solve this linear system with BiCG type linear solver and be done with it. 

March 5, 2017, 17:16 

#14  
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Paolo Capobianchi
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Quote:
Thanks for your reply. I will try the solution you proposed which look appealing. However, I am afraid that in my case I should solve the transport equation in a subregion of the domain. I have to deal with a PDE defined at the interface between two different fluids. My idea was to define the transported quantity in a small but finite region across the interface, detect at each time step the cells at the boundary and then apply the BC's there. At the moment I have only found a way to detect those cell. Now I am stuck on how to impose the conditions I want. I am not sure it will be an easy task to accomplish. I will keep you posted if I will find a solution to the problem. Best, Paolo 

March 6, 2017, 13:19 

#15  
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Kalpana Hanthanan Arachchilage
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Thank you Arjun for your reply. I will try that method as well. I have tried this problem in several ways.
Here the diffusion coefficient, D is zero in vapor side and it's updated with alpha in every iteration. 1. I implemented my transport equation as follows. fvm::ddt(C) +fvm::div(phi,C) fvm::laplacian(D,C) == 0 this method actually diffuse the field C into vapor side. 2. volScalarField liquidField = max(min(alpha1,1),1e80); liquidField*fvm::ddt(C) +liquidField*fvm::div(phi,C) liquidField*fvm::laplacian(D,C) == 0 Still it diffused into vapor side. 3. Here, I used an approach similar to alphaEqn. I used MULES to solve for C. so the equation is like, surfaceScalarField phiC ( fvc::flux ( phiAlpha, C, CScheme ) + fvc::flux ( fvc::flux(phir, magGradAlphaFcutNorm, CrScheme), C, CrScheme ) ); MULES::explicitSolve(geometricOneField(),C, phi, phiC, SpC ,SuC, 1, 0); laplacian term is explicitly calculated and included in SuC. magGradAlphaFCutNorm is used instead of (1alpha1)*alpha1 in alphaEqn as (1alpha1)*alpha1 term didn't do the interface compression properly. I must note my C field is in the order of 1e3. so the compression term has to be changed. As alpha varies from 0 to 1, the diffusion is not much dominant. but, as my variable is from 0 to 1e3, the diffusion into vapor side is dominant. It provide good results when i change the order of magGradAlphaFcutNorm, but with time, it generate more mass in the liquid field. It's because, the compression term isn't physical. And Paolo, please check the interTrackFoam implementation in openfoam extended versions. they solved similar problem. but, they used a moving mesh to simulate the interface and they discretized the interface surface, for surfactant transport equation. I'm not sure whether it'll help you or not. but, have a look. And you have mentioned that applying zeroflux boundary condition at the isovolume surface. Do you have any idea how to implement such boundary condition. if so, that would be awesome. Thank you very much for your inputs. Kalpana. Quote:


March 7, 2017, 18:28 

#16  
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Paolo Capobianchi
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Quote:
I wasn't aware about that solver. I will give a look on it. At the moment I still have no idea on how to implement the bc's. Hopefully I'm wrong, but a first glance seems a really though task... In case I will find a way, I'll let you know. Thanks for the suggestion. Best, Paolo 

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conditional, solidification, solving 
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