Advanced metric for particle image velocimetry accuracy estimation

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Advanced metric for particle image velocimetry accuracy estimation

Popis výsledku v původním jazyce

The paper describes an algorithm for determination of measurement accuracy at each point using the Particle Image Velocimetry method. Proposed algorithm is based on defining a new correlation plane metric, which is reported as Lost of Particle Ratio LPR. Newly proposed method of calculating the metric, Lost of Particle Ratio, is based on determination of the magnitudes of two correlation peaks. The new metric is defined as the ratio of metric referred to as Mutual Information MI, which respects the total number of particles contributing the signal peak growth and of the magnitude of the autocorrelation peak, which represents the total number of particles within interrogation area IA. The given metric is further corrected by the resultant displacement determined in the last iteration of the Standard Cross Correlation SCC algorithm and also by the gradient value within IA. The whole procedure measurement uncertainty determination is based on the analysis of synthetic data and the use of a pair of tests - Uniform Flow Test UFT and Couette Flow Test CFT. The work discusses the influence of the individual corrections of metrics; the dependencies between the value of such adjusted metrics and measurement uncertainty, including the mutual comparison, are determined. With the help of synthetic test parameterization, a procedure of measurement uncertainty determination is defined based on knowledge of main parameters influencing the measurement accuracy and a suitable metrics shape based on knowledge of main parameters such as density of particles within IA, velocity gradient, size of particle diameter, detected displacement in the last iteration and noise level is designed. In the parameterization of the synthetic tests a different method of gradient definition within the IA was used. The proposed procedure of measurement uncertainty determination using the corrected metric Lost of Particle Ratio is ultimately compared with an approach based on the parameterization of synthetic tests for Standard Cross Correlation algorithm.

Název v anglickém jazyce

Advanced metric for particle image velocimetry accuracy estimation

Popis výsledku anglicky

The paper describes an algorithm for determination of measurement accuracy at each point using the Particle Image Velocimetry method. Proposed algorithm is based on defining a new correlation plane metric, which is reported as Lost of Particle Ratio LPR. Newly proposed method of calculating the metric, Lost of Particle Ratio, is based on determination of the magnitudes of two correlation peaks. The new metric is defined as the ratio of metric referred to as Mutual Information MI, which respects the total number of particles contributing the signal peak growth and of the magnitude of the autocorrelation peak, which represents the total number of particles within interrogation area IA. The given metric is further corrected by the resultant displacement determined in the last iteration of the Standard Cross Correlation SCC algorithm and also by the gradient value within IA. The whole procedure measurement uncertainty determination is based on the analysis of synthetic data and the use of a pair of tests - Uniform Flow Test UFT and Couette Flow Test CFT. The work discusses the influence of the individual corrections of metrics; the dependencies between the value of such adjusted metrics and measurement uncertainty, including the mutual comparison, are determined. With the help of synthetic test parameterization, a procedure of measurement uncertainty determination is defined based on knowledge of main parameters influencing the measurement accuracy and a suitable metrics shape based on knowledge of main parameters such as density of particles within IA, velocity gradient, size of particle diameter, detected displacement in the last iteration and noise level is designed. In the parameterization of the synthetic tests a different method of gradient definition within the IA was used. The proposed procedure of measurement uncertainty determination using the corrected metric Lost of Particle Ratio is ultimately compared with an approach based on the parameterization of synthetic tests for Standard Cross Correlation algorithm.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20302 - Applied mechanics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 19th Symposium on Application of Laser Techniques to Fluid Mechanics.

ISBN

978-989-20-9177-8

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

11

Strana od-do

1-11

Název nakladatele

Technical University Lisboa

Místo vydání

Lisabon

Místo konání akce

Lisabon

Datum konání akce

16. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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