Uncertainty Estimation Methods in Particle Image Velocimetry

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13420%2F22%3A43897433" target="_blank" >RIV/44555601:13420/22:43897433 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1051/epjconf/202226901044" target="_blank" >https://doi.org/10.1051/epjconf/202226901044</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/epjconf/202226901044" target="_blank" >10.1051/epjconf/202226901044</a>

Result language
angličtina
Original language name
Uncertainty Estimation Methods in Particle Image Velocimetry
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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