Full field velocity data can be of significant value for transient fluid flows. A recently developed technique utilizing double exposure photographs of particles seeded into a flow can provide this kind of data. Analysis of the resulting particle seed photographs is a problem due to the number of particles and spatial resolution requirements of the measurement. A current technique for analyzing the particle photographs is based on a point by point illumination of the particle image, and two subsequent 2-D fast Fourier transforms (FFT) to produce an autocorrelation pattern of the particles. The particle displacement can be determined from the autocorrelation pattern. The digital 2-D FFT of image data may take a considerable amount of computer time depending on the computer involved. We present a technique for performing the equivalent of the Fourier transform optically, producing an autocorrelation function from an input function. Preliminary results are presented as well as a discussion on possible system improvements and system potential.
Skip Nav Destination
ICALEO '89: Proceedings of the Materials Processing Conference
October 15–20, 1989
Orlando, Florida, USA
ISBN:
978-0-912035-39-0
PROCEEDINGS PAPER
Optical analysis of particle image velocimetry data
P. V. Farrell;
P. V. Farrell
Department of Mechanical Engineering, University of Wisconsin–Madison
, Madison, Wisconsin 53706, USA
Search for other works by this author on:
D. Goetsch
D. Goetsch
Department of Mechanical Engineering, University of Wisconsin–Madison
, Madison, Wisconsin 53706, USA
Search for other works by this author on:
Published Online:
October 01 1989
Citation
P. V. Farrell, D. Goetsch; October 15–20, 1989. "Optical analysis of particle image velocimetry data." Proceedings of the ICALEO '89: Proceedings of the Materials Processing Conference. ICALEO '89: Proceedings of the Optical Methods in Flow & Particle Diagnostics Conference. Orlando, Florida, USA. (pp. pp. 82-91). ASME. https://doi.org/10.2351/1.5058305
Download citation file:
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.