post-processing in coarse mesh

ar_mofidi · April 21, 2010, 08:36

Hi,
Are there any ways to post-process accurately flow characteristics in a domain with very coarse grids?

thanks in advance
Amin

wang.zhy · April 22, 2010, 02:10

I am not very clear of what you said ,but I guess you need some advice in batch post-process . you can try pvpython which is a pvpython interpretor of paraview !

ar_mofidi · April 22, 2010, 10:25

Dear Mr. Wang,
Thanks for your consideration. As I know the computations are performed on the flow domain cell centers. So, whenever we want to analyze the results through sampling we have the exact results on the computation grids (like the computations). By means of interpolation schemes we can adjust the way of interpolating data on other points (such as cell, cellPoint and cellPointFace) which are linear.
Assume that we have a row of coarse grids and we want to figure out the exact flow characteristics in this space which are not linear. And as the grids are far from each other the linear estimation can not predict the reality.
My question is, in some cases like using wall functions which do not have fine grids in near-wall region, what could be the best way to estimate the resolved domain exactly which can be non-linear.
Thanks in advance

April 21, 2010, 08:36	post-processing in coarse mesh	#1
ar_mofidi New Member alireza Join Date: Apr 2009 Location: iran Posts: 11 Rep Power: 17	Hi, Are there any ways to post-process accurately flow characteristics in a domain with very coarse grids? thanks in advance Amin

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April 22, 2010, 02:10		#2
wang.zhy New Member Eric.wang Join Date: Jun 2009 Location: beijing china Posts: 11 Rep Power: 17	I am not very clear of what you said ,but I guess you need some advice in batch post-process . you can try pvpython which is a pvpython interpretor of paraview !

April 22, 2010, 10:25		#3
ar_mofidi New Member alireza Join Date: Apr 2009 Location: iran Posts: 11 Rep Power: 17	Dear Mr. Wang, Thanks for your consideration. As I know the computations are performed on the flow domain cell centers. So, whenever we want to analyze the results through sampling we have the exact results on the computation grids (like the computations). By means of interpolation schemes we can adjust the way of interpolating data on other points (such as cell, cellPoint and cellPointFace) which are linear. Assume that we have a row of coarse grids and we want to figure out the exact flow characteristics in this space which are not linear. And as the grids are far from each other the linear estimation can not predict the reality. My question is, in some cases like using wall functions which do not have fine grids in near-wall region, what could be the best way to estimate the resolved domain exactly which can be non-linear. Thanks in advance