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April 11, 2009, 14:37 |
Underpredicting stall on an aerofoil
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#1 |
New Member
Join Date: Apr 2009
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Evening everyone,
I am slightly puzzled over some simulation results which I have just run and wondered if someone could shed some light on the issue. I am running a 2D Simulation on a NACA0012 at 13 degrees using the k-epsilon with standard wall functions. At this level of incidence I would expect the aerofoil to have stalled and the pressure distribution to be flat. However, I get a pressure distribution with a sharp favourable pressure gradient near the leading edge with an adverse pressure gradient moving towards the trailing edge? Is this because I am using wall functions? If so, why does this make a difference? Many Thanks |
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April 11, 2009, 16:46 |
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#2 |
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I am not sure which version of k-epsilon model you are employing but most of the older versions of k-models have shown deficiencies for adverse pressure gradients. Also the use of wall functions can be problematic for flow separation. Check the literature for successful simulations with k-epsilon model for airfoil stall. You should try employing menter's k-omega model or wilcox modified k-omega model if you have an option or more recent versions of k-epsilon models.
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April 12, 2009, 10:20 |
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#3 |
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Many Thanks for your reply.
I am using the standard k-epsilon model in my simulation. I have found a number of posts which indicate the wall functions do not accurately capture flow seperation, however I cannot seem to find out why! If anyone could post why wall function do not model flow seperation and why the standard k-e model shows deficiencies for adverse pressure gradients, I would be most grateful. Cheers |
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April 12, 2009, 13:15 |
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#4 |
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Wall functions are a function of friction velocity which are a function of wall shear stress. Wall shear stress becomes zero when you have flow separation and hence both the wall function approach and many of the low -Re K-E model are problematic.
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April 13, 2009, 12:50 |
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#5 |
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Tenzin Choephel
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What is the Reynolds number that u have entered? At around Reynolds number range of 100,000-500,000, the stall angle of NACA 0012 is around 12-13. At say about 3,000,000 Reynolds number, it is about 16 degrees. You might not have expected Reynold number effect in ur results. Hope that helps.
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April 21, 2009, 07:27 |
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#6 | |||
Senior Member
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Hi all!
I'm doing a compare tests of turbulence models in FLUENT and OpenFOAM. I've got convergence problems with standard k-epsilon in OpenFOAM for testing geometries. Mesh is 3D with following parameters: Quote:
Quote:
Quote:
The only solution is to use othe k-epsilon model, for example realizableKE works perfectly with any settings and does not requires 1st oder or mesh improvement, changing solvers whatever! So what could be the reason that standard k-epsilon stucks with this task? Thank you! Waiting for your comments!
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Best regards, Dr. Alexander VAKHRUSHEV Christian Doppler Laboratory for "Metallurgical Applications of Magnetohydrodynamics" Simulation and Modelling of Metallurgical Processes Department of Metallurgy University of Leoben http://smmp.unileoben.ac.at |
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Tags |
k-epsilon model, seperation |
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