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2018 | OriginalPaper | Chapter

7. Post-processing of PIV Data

Authors : Markus Raffel, Christian E. Willert, Fulvio Scarano, Christian J. Kähler, Steven T. Wereley, Jürgen Kompenhans

Published in: Particle Image Velocimetry

Publisher: Springer International Publishing

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Abstract

While the previous chapter have dealt with recording and evaluation of PIV images, the extracted data require further post-processing in the context of data validation and further data reduction to retrieve fluid mechanical relevant information. This chapter introduces a variety of validation schemes that operate either globally or locally on the data along with methods of data interpolation to fill in data gaps in both space and time. The validated data can then be subjected to differentiation to, for instance, extract gradient information such as vorticity fields. Issues and errors arising through applying differentials to the finitely-spaced data grid are discussed and illustrated. Alternatively, the velocity data can be integrated to retrieve streamlines, body forces or even pressure fields.

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previous chapter PIV Uncertainty and Measurement Accuracy

next chapter Stereoscopic PIV

Incompressibility is a fairly stringent condition for Eq. (7.11). However, the pressure term vanishes and Eq. (7.11) holds, if \(\nabla \rho \parallel \nabla {p}\), that is the fluid is barotropic.

We ignore the fact that standard PIV only yields a two-dimensional projection of the three-dimensional vector.

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Title: Post-processing of PIV Data
Authors: Markus Raffel
Christian E. Willert
Fulvio Scarano
Christian J. Kähler
Steven T. Wereley
Jürgen Kompenhans
Publisher: Springer International Publishing
Book: Particle Image Velocimetry
Print ISBN: 978-3-319-68851-0

Electronic ISBN: 978-3-319-68852-7

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-68852-7_7

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