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December 3, 2010, 19:07 |
wall y+ value in buffer layer. what to do?
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#1 |
New Member
RUZ
Join Date: Oct 2010
Posts: 25
Rep Power: 16 |
I'm using K-epsilon model and I have converged thee solution using all three of the wall functions. But for all three cases the wall y+ falls in the buffer layer( 5<y+<30). It fluctuates between 15-25 for different wall functions. What can I do to improve the wall y+? please suggest.
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December 3, 2010, 19:51 |
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#2 |
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Jonny
Join Date: Aug 2009
Posts: 72
Rep Power: 17 |
change the cell size.
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December 3, 2010, 21:10 |
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#3 |
New Member
RUZ
Join Date: Oct 2010
Posts: 25
Rep Power: 16 |
@jonny6001: Is it possible to change the cell size in fluent? if so how? I didn't create the mesh. I'm using it because it's given to me for my project. Also don't know how create a mesh.
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December 4, 2010, 06:38 |
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#4 |
Member
Jonny
Join Date: Aug 2009
Posts: 72
Rep Power: 17 |
Y+ is proportional to the normal distance of the cell centroid from the wall. To change the Y+ you would need to reduce the cell length perpendicular to the wall.
I have never needed to do this in Fluent so I am not sure if it's possible. There is a nice built in function in Fluent that adapts the mesh based on user inputted criterion but I have never user it for boundary layer meshes. If I can remember, it just splits the cell in half or even a quarter for refinement. Now it might be possible for you to use this if the mesh adaptor splits your boundary cells like you need it to to reduce your Y+. It is certainly not how I would do it but it might work. Good luck. |
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December 4, 2010, 09:25 |
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#5 |
New Member
RUZ
Join Date: Oct 2010
Posts: 25
Rep Power: 16 |
I'm posting a y+ curve for you to see whether its a wrong curve or not. There is a mesh refine option in FLUENT but the problem is there are plenty of options to be adapted. which one to choose?
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December 8, 2010, 10:47 |
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#6 |
New Member
Join Date: Oct 2010
Location: Germany
Posts: 25
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In general, you can try to live with y+ 5..30
Depending on the simulation, k-e Realizable Scalable wall function can give a good results. in the command line: define-mod*-visc*-near*-sc* (without starts - you just do not need to finish the command... you know) I have compared this model with some others in a certain range of y+ wider than 5..30 with some empirical solutions (known as correct). And it gave results much closer to theoretical solution in comparison to k-e Realizable Enhanced w.t. and many others two-equation based models. But... This was one case. I can't be sure about different... |
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