If your mesh is typical, then probably most of the cells are of good quality, 
and there are a handful of cells of bad quality.  Thus, when volume rendering 
most of the cells will be invisible and that handful of cells will have some 
opacity.

The probable reason that you can see them in a small mesh and not a large one 
is that the cells are spatially much smaller (with respect to the entire mesh) 
for the large mesh.  In correct volume rendering, a material of a constant 
density will have smaller opacity the thinner it gets.  Your cells are probably 
so small that there is not enough accumulation to actually see them.

You can adjust for the small scale of the cells by adjusting the "Scale" 
parameter in the Color Scale Editor dialog box.  That parameter is actually a 
unit length specification for the opacity parameters given.  Setting it to 
about cell length divided by 10 should give you decent results.  However, an 
easier and probably more effective approach would be to bag the volume 
rendering and use the threshold filter to extract the cells of interest (in 
this case, the bad ones).

-Ken

________________________________
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Nathanael Inkson
Sent: Tuesday, September 02, 2008 7:31 AM
To: [email protected]
Subject: [Paraview] Strange behaviour with large datasets

Dear Paraview people,
            I am working with Paraview with very large datasets (around 40Gb). 
I have written a filter derived from MeshQuality which doesn't seem to display 
the returned data arrays correctly. I checked with the same mesh and the 
MeshQuality filter. The same thing happens: I put the output on volume 
rendering to look at the quality field and the whole dataset is invisible. I 
have tried rescaling the range but to know avail. Is this a known problem?
Any advice? With smaller meshes the problem disappears and the quality field is 
visible with volume rendering.

Best Regards

Dr. Nathanael Inkson,

Computational Fluid Dynamics Developer,
Digital Flow Solutions,

 [cid:[email protected]]
[cid:[email protected]]
mob:  +  44 7872010167
web:   wirthresearch.com


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