Journal of the Visualization Society of Japan
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
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Fluid Dynamics and Visualized Information Processing
― Turbulent Statistics Estimated by Single Pixel PIV ―
Taku NONOMURAYuta OZAWATakuma IBUKIKeisuke ASAI
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Supplementary material

2020 Volume 40 Issue 159 Pages 7-9

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Abstract

In the single-pixel particle image velocimetry (PIV) method, the idea of the conventional method to calculate the variation is introduced and the extension of this method to the case in which the ideal particle image is not obtained is addressed. The extended method is based on the previous method which assumes the correlation distribution as a probability distribution, and it estimates the fluctuation by compensating the component corresponding to the shape of the particle using the Fourier transform. The average velocity field and the fluctuation field with very high resolution can be obtained for supersonic PIV by using the extended method. In the future, we expect such a proposal of a new technique for visualizing fluid phenomena with higher resolution using similar information processing.

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© 2020 The Visualization Society of Japan
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