Tom,
I did the same thing with LDA data in an artificial heart, but I had taken
pains to make sure the two orthogonal traverse grids coincided to < 0.1 mm.
I think you must first interpolate each data set onto a predetermined grid,
then combine the two grids using {Compute} to create 3D vectors (possibly
averaging the two values of the repeated velocity component, V). Then, you
can apply rocket glyphs to the gridded data to visualize the vector field.
At 05:31 AM 24/02/05, you wrote:
Hi-
(apologies, I've asked this before years ago, and lost the answer...)
I have two datasets, one containing positions and U and V velocities and
the other containing positions and V and W velocities, not necessarily at
the same positions. (It's the output of separate runs of a 2D laser
doppler anemometer around a cityscape in a wind tunnel)
I'd like to combine these, by either discarding or averaging the "spare" V
component, into a single dataset of 3D velocities, that I can then render
as vectors, or seed with streak or streamlines...
Any help much appreciated!
--
Tom
____________________________________________________________
Tom Lawton Experimental Officer
EnFlo (Environmental Flow Research Centre)
School of Engineering (H5)
University of Surrey
GUILDFORD Surrey GU2 7XH UK
Tel (Office):+44 1483 68 2351
Tel (Lab): +44 1483 68 9687
Fax: +44 1483 68 9546
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_____________________________________________________________
Allen H. Nugent
Graduate School of Biomedical Engineering
University of New South Wales
Sydney NSW 2052 Australia
Tel: +61 2 9385 3916 Fax: +61 2 9663 2108
