Limitations of accuracy in PIV due to individual variations of particle image intensities

By Holger Nobach, Eberhard Bodenschatz. 2009

144 citations recorded by the source corpus.

The effect of independent variations of the intensity of individual tracer particles between consecutive images on the accuracy of common displacement estimation methods in particle image velocimetry (PIV) is investigated. Such variations can be observed, e.g., in flows with components perpendicular to the illumination sheet, leading to out-of-plane displacements of the tracer particles. The achievable accuracy of PIV measurements is shown to be limited by this effect alone to be of the order of 0.1 pixel, yielding a basic limitation of the PIV technique.

Subfields: Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/da0595a4dff174f029ce04f3afc234bdb419a9ab

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In Computational Mechanics

In Environmental Engineering

Citations in the corpus

PIV uncertainty quantification by image matching (2013, background): “Particle motion through the measurement plane is recognized as one of the main sources of measurement uncertainty (Adrian 1991, Nobach and Bodenschatz 2009).”
Uncertainty on PIV mean and fluctuating velocity due to bias and random errors (2013, background): “Nobach and Bodenschatz [12] showed that the limit of PIV accuracy is much larger than often claimed (near 0.”
Shake-The-Box: Lagrangian particle tracking at high particle image densities (2016, background): “…to planar PIV, it can be stated that STB delivers average velocity accuracies that are at least on par with the ones gained by planar PIV (a typical velocity error of 0.1 px was repeatedly found for planar PIV, see, for example, Nobach and Bodenschatz 2009; Sciacchitano et al. 2013; Wieneke 2015).”