An extended study of a generalized digital particle image velocimetry (DPIV) processing technique
Abstract
A generalized cross-correlation particle image velocimetry (PIV) method capable of providing direct estimates of fluid velocity, vorticity and in-plane shear rates has been introduced and described by Mayer (2000 Exp. Fluids 33 443–57). While being useful, this generalized image deformation-based PIV (herein referred to as GIDPIV) method has not been deeply investigated. Toward this end, this paper examines the influence of window radii, particle diameter, seeding density, weighting functions and interpolation algorithms on the accuracy of this GIDPIV. Synthetic images representing uniform flow and an Oseen vortex flow, along with an experimental image set, are used to assess the performance results via investigation of random, bias and total errors.
Additional Information
© 2009 IOP Publishing Ltd. Received 7 August 2008, in final form 29 April 2009. Published 5 June 2009. The authors gratefully acknowledge the support of the National Institutes of Health (R01 RR023190-04 to JRH, DD and MG).Additional details
- Eprint ID
- 41396
- Resolver ID
- CaltechAUTHORS:20130918-141757079
- R01 RR023190-04
- NIH
- Created
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2013-09-18Created from EPrint's datestamp field
- Updated
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2023-03-14Created from EPrint's last_modified field
- Caltech groups
- GALCIT