Hi,

I had an idea I would like to explore but I'm not sure the right way to do it. 
I have a 3D vtkMultiblockDataset that is composed of curvilinear structured 
blocks. Let's say I create a line source with s = f(x,y,z). This line source 
can have a normal vector at each point that is confined to a particular plane 
(so for example, if I have s = x @ y = 0, z = 0 there are 2 normals of s 
confined to the x-y plane -- (0,1,0) and (0,-1,0)). I would like to create a 
slice where the local normal of the slice is oriented with one of those two 
normals (it doesn't matter which since a slice is infinitely thin). 

To give my actual example -- I have a fluid flow and I place a single 
streamline seed and generate the streamline. In this case, the streamline has 
constant z coordinates and is a function of x,y. This streamline represents the 
core of my flow. I would like to extract a slice whose profile (side view) is 
this streamline. 

And depending on whether that looks cool or not, I would like to try applying a 
ribbon to my streamline so I now get a rotated shape based on the local 
rotation in the flow, and then I would like to extract a slice that is locally 
normal to the ribbon. 

Is there a filter or set of filters that could do this? Do I need to figure out 
how to write my own to do it?

Thanks,

Tim
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