No shock in airfoil 0012 case despite of Mach number exceeds 1
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Hi Foamers,
I'm pretty new to OpenFoam and CFD in general. I managed to get good results for low subsonic speeds on the NACA 0012. Now I'm trying to go transsonic for my thesis. I'm struggling to get a shock visible on an NACA 0012 at freestream mach number of 0.82. First I decided to use rhoSimpleFoam. Correct me if I'm wrong but there are no non-reflecting boundary conditions for this solver. So I went on and tried the following:
I would very much appreciate some critics or advise how I could go on, as I'm running out of Ideas. Thanks a lot |
Use rhoCentralFoam. That is good for shock capturing and compressible flows.
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I agree with praveen. With Ma > 1 you should not use a pressure-based solver.
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Thanks a lot for the hint rhoCentralFoam really works much better than the others for my case. Even if I don't understand why, as I also tried
- rhoPimpleFoam (which should be density based right ?) - sonicFoam - rhoSimpleFoam I didn't used rhoCentralFoam in the first place as the manual suggests that it does not consider turbulence. But it does. I'll put my results in here if they're finished. Thanks lot !! |
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Regards V. |
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yes, they can manage "high-Mach" number flows. The literature on "all-speeds" pressure based solvers is very long, and they all basically rely on similar algorithms. In practice, compressible methods allow better numerical schemes to be implemented, which reflect the physics of the problem, and naturally deal with some of the numerical difficulties presented by this kind of flow taking advantage of the mathematical nature of the equations. P.S. I am not an expert either, but recent experience showed that using a pressure based code to solver high-speed compressible flows is a waste of time. Way too many convergence and stability problems compared to a density-based one. Best, |
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Best V. |
Hi schwermetall,
It would be great if you could share your case setup as well. It would serve as a great starting point for my airfoil investigation. Thx! |
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Hi Foamers,
first of all thanks for the support. Unfortunately I don't get a steady state solution. At first a I got two shocks on the upper and lower side in the region where they belong. But with increasing time my solution gets unsteady. There is a region of low pressure that emerges from the trailing edge disturbing the complete flow field around the airfoil. This behaviour could be seen in sonicFoam as well, see first post. What would you consider a reasonable physical time after the flow around the airfoil should reach a steady state if the conditions are as follows - freestream velocity: 277 m/s - airfoil length 1 m - domain length 40 m - Co<0.5 - 125 000 cells I added some picture with different time steps. I don't get a steady state after after 0.14 seconds. Very strange is, that there are two shocks on the upper side at time 0.11. After some time they occur on the lower side. thanks a lot |
Maybe it needs more iterations to reach steady state. Note that rhoCentralFoam uses global time stepping, so reaching steady state can be very slow. And moreover it uses forward euler time stepping. Atleast, some 2/3/4 stage RK scheme with local time stepping would be more robust and better for steady state problems. But this needs to be coded and is not available as a scheme. But your problem could be something else also, I cannot say.
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It seems I found the problem concerning the unsteady behavior. I changed the mesh at the trailing edge, so that cells around the last point of the airfoil get less skewed. Below you can see pictures from physical time equals 0.152
Nevertheless the fluctuations in density and velocity at the leading edge remain. Does anyone have an idea what they could come from? I already changed the default divScheme from linear to upwind, but that doesn't help. Below my fvSchemes for the rhoCentralFoam solver: fluxScheme Kurganov;Grateful for any hints |
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Best V. |
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hi vkrastev
I'm using RAS model with kOmega turbulence model plus wallfunction, not with resolved boundary layer. My y+ ranges between 26 and 167 (see below) . So consequently the mesh should be even a little coarser near the surface right ? Boundary consitions are fixedValue for Velocity at the inlet zeroGrad for Velocity at the outlet and fixedValue for pressure at the outlet zeroGrad for pressure at the inlet |
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supersonicFreeStream for velocity at the inlet zeroGradient for pressure at the inlet inletOutlet for velocity at the outlet waveTransmissive for pressure at the outlet Otherwise, if the incoming flow is subsonic,you can change the inlet conditions in: fixedValue for velocity waveTransmissive for pressure Regards V. PS - Now I recall that your inlet condition was subsonic, so you can try directly the second option |
Hi
thanks for the advice. I thought about changing the boundary condition, but the thing that kept from doing it was, that I couldn't find any pressure waves being reflected at the boundaries. Shouldn't I see at least anything coming back into the domain ? Nevertheless I'm going to try it and I'll report the results. By the way what do you recommend for this lInf value when using waveTransmissive? I already played with it but I'm not sure. From what I understand it is the distance behind the boundary where the given boundary value will be reached ? Regards |
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I would like start with your mesh first. make the y+ to 2. Then you should use boundary conditions as suggestd by Vkrastev. Infact simply Inlet BC works good so that you can state all pressure, temperture and velocity etc... at inlet and at oulet you can make use of zerogradient B.C for all. Use sonicFoam solver this is a turbulent compressible flow. If you are using 1.6 version there are some issues with sonicFoam solver (you cannot resolve thermal boundary layer). Density based solvers are generally used for not only capturing shocks but also their interactions and these are very sensitive. where pressure based solvers are not better for these cases. use small time step for analysis. Thanks Kiran Ambilpur |
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Regards V. |
I already tried sonicFoam (2.0) using different boundary conditions schemes etc etc ....
But I wasn't able to get a shock visible, with that solver. I'm using adjustTimeStep yes; with maxCo of 0.5; So thanks for the ideas, but I already tried that. |
Hi guys
I now changed the boundary conditions for velocity at the outlet to type inletOutlet inletValue (0 0 0) and pressure at the outlet to waveTransmissive with lInf 2 Doesn't seem to change anything. I'm now trying somthing completly different. I'm using this MUSCL scheme for divSchemes. Does any of you has experience with it ? From what I understand this schemes tries to keep fluctuations as low as possible. Which is exactly my problem. Any experience with that ?? |
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Hi vkrastev,
first of all many thanks for staying with me and my problem. Yes I tried upwind, but not for div(tauMC). I'm now trying MUSCL 0.9 for div(phi,omega) and div(phi,k). As it takes Ages to make a run, I haven't done major changes like changing the turbulence model today, but I'll let it run over night and report tomorrow. This is also the reason why resolving boundary layer is no option for me. To get a physical time of 0.2 seconds, my computer is running for nearly 1.5 days. My target is to get an airfoil polar in the end (like Cl over alpha, Cd over Cl ...). So if the computation time increases further for each angle of attack I have to stop there. |
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Hi vkrastev
concerning div(tauMC) I now think, that I remember that Openfoam returned an error when I tried the upwind scheme. But your explanation is pretty convinient. short Update: For the laplacianSchemes it is possible to choose cellLimitedSchemes. If I understand the intention correct, theses Schemes reduce fluctuations by limiting the gradient between neighbouring cell centers. (found a very good explanation http://www.cfd-online.com/Forums/ope...lllimited.html ) so I changed my fvSchemes as follows: gradSchemes { default none; grad(p) cellLimited leastSquares 0.9; grad(U) Gauss linear; grad(rho) cellLimited leastSquares 0.9; grad(rhoU) cellLimited leastSquares 0.9; grad((1|psi)) Gauss linear; grad(e) Gauss linear; grad(sqrt(((Cp|Cv)*(1|psi)))) Gauss linear; grad(T) Gauss linear; grad(omega) Gauss linear; grad(k) Gauss linear; } The reason was, that pressure/density are probably the ones causing trouble. It now seems (! no long time confirmation) as if the pressure oscillations are diminishing. See pictures below |
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Hey Foamers,
I did as alberto suggested: gradSchemes { default cellLimited leastSquares 1; { The result got much better after that as you can see below. But the fluctuations haven't vanished completely. So I'll now try the Spalart-Almaras model and see what happens then. |
Just a short add-on from my side: it seems (at least in my internal flow case) that Tadmor's flux scheme is more stable than Kurganov's one (probably because it's slightly more dissipative, at least as I was able to understand from Kurganov and Tadmor's original paper).
Regards V. |
Hi Foamers,
as I'm running the Spalart-Almaras model I get the following warning: --> FOAM Warning : From function tmp<volScalarField> SpalartAllmaras::k() const in file SpalartAllmaras/SpalartAllmaras.C at line 262 Turbulence kinetic energy not defined for Spalart-Allmaras model. Returning zero field I had a look at the source code, but as my c++ is worse than my Chinese I can really tell what is happening there. The Spalart-allmaras model doesn't need the kinetic turbulent energy at all. So I don't understand why the model is creating a field k mit zero entries. Code:
00241 tmp<volScalarField> SpalartAllmaras::k() const |
That piece of code is missing in OF 1.7.1 (which is my reference version), and I really don't understand why is there in OF 2.0.0/1/x ... I think you can ignore the warning message without any consequence for your calculations. Anyway, have you tried the Tadmor scheme instead of the Kurganov one?
Regards V. |
Hi vkrastev
just changed to Tadmor, but it does not seem to change the fluctuations. As the fluctuations are spacial, I'm thinking the problem might be connected to fvSolution. Maybe I gonna try Code:
solver PBiCG; |
No, I don't think you should change the diagonal solver options for rho, rhoU and rhoE, because as far as I have understood a little the rhoCentralFoam algorithm, these quantities are solved explicitly via the Kurganov/Tadmor reconstrucion procedure. What about the Spalart-Allmaras model compared to the kOmega?
V. |
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Hi vkrastev
my actual case is running with spalart-Almaras. As you can see below, the Amplitude of the fluctuations diminished a little bit. The position of the shock probably becomes better after some time, thats at least what normally happens. I'm open for new ideas ... thanks a lot |
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Regards V. |
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So after waiting for ages I reached a time of 0.186 and you're the oscillations are slowly decaying, as you can see below. So I'm going to wait a little longer.
I got some input from my supervisor and she thinks the problem I have here is a odd even decoupling. I'll have a look at the literature, see what I find out about it and if there's a way to get better results |
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Yes it's about a pressure velocity decoupling.
:D thanks a lot for all your help until now. I'll let you if I find anything out, but maybe I can unmystify it a little bit ;-) Have nice weekend. regards from Munich |
Hi schwermetall,
I observed something very similar to this when simulating a supersonic channel flow using rhoCentralFoam and kOmegaSST. The wall pressure at top and bottom walls of the channel is fluctuating a lot and it looks a lot like in your profiles. However, temperature and velocity profiles along the channel are fine, so it only seems to be a pressure problem. I did as you suggested and changed to cellLimited for grad schemes: It helped, but the fluctuations are not completely gone. As I am usually using grids with y+ of around 30 and wall functions I tried to refine the grid. For y+ = 15 and wall functions the instabilities looked weaker. And when I deactivated the wall functions for a fine grid of y+ = 1 also the pressure fluctuations were gone completely. However, the results now seem to suffer quite a lot from numerical dissipation and are considerably less accurate in temperature and velocity profiles. Did you try to refine your grid at the walls? It would be interesting to see if you can observe the same behaviour of the solver for your NACA case. |
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