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Journal of Visualization
Erschienen in: Journal of Visualization 1/2015

01.02.2015 | Regular Paper

Relaxation algorithm-based PTV with dual calculation method and its application in addressing particle saltation

verfasst von: Pan Jia, Yuan Wang, Yang Zhang, Bin Yang

Erschienen in: Journal of Visualization | Ausgabe 1/2015

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Abstract

This paper proposes a dual calculation method (DCM) that in velocity fields obtained from particle tracking velocimetry detects spurious velocity vectors. The synthetic images were used to test the performance of the DCM. By adding random erasing to the genuine matching data, the influence of noise effect was simulated and analyzed. A comparison with the minimum net-flux method indicates that the DCM is more effective in identifying erroneous vectors as particles having no genuine candidates are more readily identified, thereby, ensuring strong consistent match. The DCM is also found to be more effective in addressing particle saltation, based on the accurately abstracted trajectories, the kinetic parameters of the sand grains are calculated.

Graphical Abstract

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Vorheriger Artikel Dynamic behavior and micro-explosion characteristics of impinging droplets on a high-temperature surface
Nächster Artikel Nose shape effect on the visualized flow field around an axisymmetric body of revolution at incidence

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Metadaten
Titel
Relaxation algorithm-based PTV with dual calculation method and its application in addressing particle saltation
verfasst von
Pan Jia
Yuan Wang
Yang Zhang
Bin Yang
Publikationsdatum
01.02.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 1/2015
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-014-0228-z

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