Turbulence model choice
According to your experience, what is the best turbulence model to be used for turbomachinery applications with turbulent, separated flow together with shocks? Both physical and computational topics are to be considered. Thanks

Re: Turbulence model choice
(1). Good question. (2). But I don't have the answer.

Re: Turbulence model choice
(1). I have the answer. (2). I'm not going to tell you.

Re: Turbulence model choice
Well, some people are using zero equations models (BaldiwnLomax and CebeciSmith) to calculate these flows. They are supposed to be robust and reasonably easy to code. But then, some other people claim that these turbulence models cannot predict separated flow...Commercial codes use mainly two equations models (keps or kw) and calculate turbomachinery flows without any problem (they say). In middle it is possible to implement 1 equation models (SpalatAlmaras)...Any clues on which one it is most suitable in turbomachinery flows??

Re: Turbulence model choice
(1). Try a low Reynolds number twoequation model, whether it is kepsilon, komega, or a twolayer model. (2). These are basic requirement. Beyond that point, you will have to do some fine adjustment and modeling. (3). Below this requirement, you can come up with your own execuse and use the BaldwinLomax,CebeciSmith, or ...models. (4). Since your requirement is turbulent, separated flow with shocks, item1 is the minimum requirement. (5). Check NASA/Ames works around mid80's in this area. Turbomachinery flow is always 3D (and transient?, well forget about it for now), so the issue is very complex. (even with shocks ignored)

Re: Turbulence model choice
(1). I kind of agree with you, because I had developed low Re twoequation model for separated flow more than ten years ago. It's validated for only subsonic flows without shocks. It's been sealed and in the closet for ten years. And I am not ready to release it yet. I need to do more validation on it if I can find the time.(unlikely for now)

Re: Turbulence model choice
Hi, i feel low reynold number KW is very good for the problem u mentioned. Kepsilon is not that much relaible. People are also using BaldwinLomax and other algebric models. but the main problem with this models is they will not capture exact size of the bubble behind the shock. usually they will give double the size of the bubble. also separtion will atart littile bit earlier with these models. by rajani

Re: Turbulence model choice
So komega model is good for the physics and can capture shock location and bubbles accurately. What happened with the numerical aspects? Computational time and convergence rate are important. Is it still superior komega to CebeciSmith regarding these issues?

Re: Turbulence model choice
it is all depends on your requirement. if you want more accuracy then you should go for Komega model. if you want to capture the general physical phenomena then you should go for badlwinLomax or CebeciSmith models. computational time is less in the case of these algebaric models. also convergence rate. if you want better results from Komega first you run your program with algebric models and then use this data as intial values for the Komega case. u will get better convergence rate and also can save computational time. infact if you want more accuracy you should go for LES (deconvolution) procedure. which is very relaible and proved one for boundary layer separation. but computation time is more. so you have to deside what you want. by rajani

Re: Turbulence model choice
(1). A turbulence model is just a model. It is not a real thing. So, it is hard to say that it is more physically valid. Just like a big bang theory. (2). A turbulence model is a consequence of "turbulence modeling" which is part of the CFD activities. This is very important. (3). So, in CFD, you are dealing with "turbulence modeling" and you will be changing and modifying the model and coefficients to meet your solution requirement, which is casedependent. (4). So, in the "turbulence modeling', it is perfectly all right to use BaldwinLomax model, as long as you can make it fit your solution requirement. It is not going to give you vey good result, if you just apply the original model to an arbitrary case.

Re: Turbulence model choice
For me it is very important computational time and the possibility to get fast results so that it is feasible to compare a large number of them. Si it seems that I should go for the algebraic models even if there is room for improvement in the physics. Thanks

Re: Turbulence model choice
(1). The complexity of the model used should be consistent with the user's background in the first place. (2). In case of doubt, take a simpler model. Actually, a constant eddy viscosity model (same as the laminar flow, with user specified viscosity level or simulated turbulent Reynolds number) can also be used to simplify the "analysis". (3). But if you are trying to predict the turbulence flow variables, then it is a different story. So, your goal of analysis will determine the type of models used.

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