Uncertainty Estimation Methods in Particle Image Velocimetry
Institute of Machines and Power Engineering, the Faculty of Mechanical Engineering, J. E. Purkyně University in Ústí nad Labem, Czech Republic
* Corresponding author: firstname.lastname@example.org
Published online: 24 October 2022
The aim of present work is focused on determining accuracy of the measurement using the Particle Image Velocimetry based on an analysis of synthetic Uniform flow test and Couette flow test. We focused on testing the Standard Cross Correlation algorithm and interdependence between the several metrics based on the ratio signal and noise peak and the measurement accuracy at each point. This work is describing the influence of the new corrected metric that is corrected by a displacement measured in the last iteration, detected mean density of the particles and the velocity gradient. Newly proposed method of calculating the metric, Lost of Particle Ratio, is based on the determination of the magnitudes of two correlation peaks. In this work there is defined and compared another metric based on the result of synthetics data test which is based on determination of main parameters as number of particles, gradient in interrogation area and displacement of particles calculated in the last step of correlation. For all presented metrics the relationship is between the metrics and the accuracy.
© The Authors, published by EDP Sciences, 2022
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