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Original Articles

Spatial resolution analysis of planar PIV measurements to characterise vortices in turbulent flows

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Pages 37-66 | Received 08 Jul 2013, Accepted 28 Sep 2013, Published online: 06 Dec 2013
 

Abstract

The effects of spatial resolution of planar particle image velocimetry (PIV) on vortex size, swirling strength, circulation and population density characterisation are analysed using a series of experimental and numerical databases. The databases comprise a PIV database of an adverse-pressure-gradient turbulent boundary layer (APG TBL), a PIV database of a zero-pressure-gradient (ZPG) TBL in streamwise-wall-normal planes and streamwise-wall-normal slices of a direct numerical simulation (DNS) of a ZPG TBL. The effects of interrogation window and mesh sizes on the vortex parameters are analysed in the outer region of these flows using different qualitative and quantitative approaches. The quantitative analysis mainly capitalises on the possibility of mimicking the PIV data-sets with the DNS one. These approaches allow us to not only isolate the effects of mesh size and the interrogation window size but also to deduce the combined effects of other measurement errors in PIV. Typical values of mesh size and interrogation window size (0.01–0.03 of the boundary layer thickness) and typical levels of measurement uncertainties have significant effects on the vortex parameters. Moreover, each PIV error source affects the vortex parameters in different and frequently opposite manners. Hence, an optimal selection of measurement parameters such as the interrogation window size is indispensable in order to minimise the effects of spatial resolution and other measurement errors on the vortex parameters. Guidelines are presented in the Conclusions section of this paper. Finally, it is found that all the vortex parameters, when averaged across the outer region, are reasonably comparable in the ZPG and APG TBLs despite the fact that these are very different flows.

Acknowledgements

The authors wish to thank R.J. Adrian, C.D. Meinhart and C.D. Tomkins for sharing their data, as well as M.H. Shafiei Mayam for performing the measurements in the case of the APG flow.

Additional information

Funding

Financial support from the Natural Sciences and Engineering Research Council of Canada and the Canada Foundation for Innovation is gratefully acknowledged by the authors.

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