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Proceedings Paper

Extracting sound from flow measured by parallel phase-shifting interferometry using spatio-temporal filter
Author(s): Risako Tanigawa; Kenji Ishikawa; Kohei Yatabe; Yasuhiro Oikawa; Takashi Onuma; Hayato Niwa
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Paper Abstract

We have proposed a method of simultaneously measuring aerodynamic sound and fluid ow using parallel phase- shifting interferometry (PPSI). PPSI can observe phase of light instantaneously and quantitatively. This method is useful for understanding the aerodynamic sound because PPSI can measure near the source of the aerodynamic sound. However, the components of sound and ow should be separated in order to observe detail near the source of sound inside a region of ow. Therefore, we consider a separation of the component of sound from simultaneously visualized images of sound and ow. In previous research, a spatio-temporal filter was used to extract a component satisfying the wave equation. The ow and the sound are different physical phenomena, and the ow cannot be expressed by the wave equation. Hence, we think that the spatio-temporal filter enables us to separate the component of sound from the simultaneously visualized images. In this paper, we propose a method for separation of ow and sound using spatio-temporal filter in order to visualize the component of the aerodynamic sound near its source. We conducted an experiment of the separation of data measured by PPSI. The results show that the spatio-temporal filter can extract the sound from air-ow except for the sound near objects and boundaries.

Paper Details

Date Published: 14 May 2019
PDF: 6 pages
Proc. SPIE 10997, Three-Dimensional Imaging, Visualization, and Display 2019, 109970R (14 May 2019); doi: 10.1117/12.2518852
Show Author Affiliations
Risako Tanigawa, Waseda Univ. (Japan)
Kenji Ishikawa, Waseda Univ. (Japan)
Kohei Yatabe, Waseda Univ. (Japan)
Yasuhiro Oikawa, Waseda Univ. (Japan)
Takashi Onuma, Photron Ltd. (Japan)
Hayato Niwa, Photron Ltd. (Japan)


Published in SPIE Proceedings Vol. 10997:
Three-Dimensional Imaging, Visualization, and Display 2019
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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