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Spatial filter velocimetry based on time-series particle images

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Abstract

High accuracy and high spatial resolution are required in measurements of fluid velocity for detailed flow diagnostics. In this study, we proposed spatial filter velocimetry (SFV) based on a frequency analysis of time-series spatially filtered particle images. Since this method can measure velocity from one particle in a measurement region, it enables us to measure the velocity with high accuracy and high spatial resolution. We developed a SFV system and applied it to laminar and turbulent flows in a duct to examine its performance. Comparisons between the velocities measured by SFV and LDV confirmed that SFV accurately measures the mean velocity and turbulent intensity with spatial and temporal resolutions as high as LDV.

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Acknowledgments

The authors gratefully acknowledge the assistance in experiments by Mr. Hiroki Sakamoto and the support on the high-speed camera by Photoron Ltd.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Graduate School of Engineering, Kobe University, 1-1 Rokkodai, Nada, Kobe, Hyogo, 657-8501, Japan

    Shigeo Hosokawa & Akio Tomiyama

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  1. Shigeo Hosokawa
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  2. Akio Tomiyama
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Correspondence to Shigeo Hosokawa.

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Hosokawa, S., Tomiyama, A. Spatial filter velocimetry based on time-series particle images. Exp Fluids 52, 1361–1372 (2012). https://doi.org/10.1007/s00348-011-1259-z

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  • DOI: https://doi.org/10.1007/s00348-011-1259-z

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