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Quantitative Flow Visualization - Toward a Comprehensive Flow Diagnostic Tool

Gharib, Mory and Pereira, Francisco and Dabiri, Dana and Modarress, Darius (2002) Quantitative Flow Visualization - Toward a Comprehensive Flow Diagnostic Tool. In: Visualization and imaging in transport phenomena. Annals of the New York Academy of Sciences. No.972. New York Academy of Sciences , New York, NY, pp. 1-9. ISBN 1-57331-370-X.

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Quantitative flow visualization has many roots and has taken several approaches. The advent of digital image processing has made it practical to extract useful information from every kind of flow image. In a direct approach, the image intensity or color (wavelength or frequency) can be used as an indication of concentration, density and temperature field, or gradients of these scalar fields in the flow. For whole-field velocity measurement, the method of choice for experimental fluid mechanicians has been digital particle image velocimetry (DPIV). This paper presents a novel approach to extend the DPIV technique from a planar method to a full three-dimensional volume mapping technique.

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Additional Information:© 2002 New York Academy of Sciences. Article first published online: 24 Jan. 2006. This research was supported by the Office of Naval Research (Contract N000140010110). Defocusing digital particle image velocimetry (DDPIV) technology is protected under a U.S. patent through the California Institute of Technology.
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Office of Naval Research (ONR)N000140010110
Subject Keywords:imaging; visualization; PIV; DPIV; diagnostics
Series Name:Annals of the New York Academy of Sciences
Issue or Number:972
Record Number:CaltechAUTHORS:20130911-110931833
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Official Citation:GHARIB, M., PEREIRA, F., DABIRI, D. and MODARRESS, D. (2002), Quantitative Flow Visualization. Annals of the New York Academy of Sciences, 972: 1–9. doi: 10.1111/j.1749-6632.2002.tb04546.x
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:41247
Deposited By: Tony Diaz
Deposited On:11 Sep 2013 22:21
Last Modified:10 Nov 2021 04:27

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