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Newsletter  2015.2  Index

Theme : "The Conference of Fluid Engineering Division"

  1. Preface
    M.Oshima, D. Sakaguchi, Y. Takahashi
  2. Aeronautical Industry Overview and Brief Introduction of Fluid-related R&D Activities at JAXA
    Kazuhiro NAKAHASHI (Institute of Aeronautical Technology, Japan Aerospace Exploration Agency)
  3. 3D flow configuration of multiple circular impinging jets
    Yoshiyasu ICHIKAWA (Tokyo University of Science)

  4. Relationship between Flow characteristics and Shear-banding on step shear in wormlike micellar solutions
    Masatoshi ITO (Nagaoka University of Technology)
  5. Effect of a Sinusoidal Riblet on Advection of Vortices in Wall Turbulence
    Monami SASAMORI, Hiroya MAMORI, Kaoru IWAMOTO, Akira MURATA (Tokyo University of Agriculture and Technology)
  6. Highly temporal analysis of underwater streamers with a streak camera
    Hidemasa FUJITA (Tohoku University)
  7. Digital holographic particle measurement using deconvolution and its application
    Yuto ASAI (Graduate School of Kyoto Institute of Technology), Shigeru MURATA, Yohsuke TANAKA (Kyoto Institute of Technology)
  8. The Soap Bubbles Art
    Megumi Akashi (Hokkaido University)
  9. The Dream Aquarium
    Daichi SAITO, Tomonari Sato (Hokkaido University)


Digital holographic particle measurement using deconvolution and its application

Graduate School of Kyoto Institute of Technology

Shigeru MURATA
Kyoto Institute of Technology

Yohsuke TANAKA
Kyoto Institute of Technology



Particle image velocimetry (PIV) and particle tracking velocimetry (PTV) are widely used for fluid flow measurements.
The velocity distributions of fluid flow are measured by tracking tracer particle patterns or each particle, so PIV and PTV are based on particle measurement techniques in fluid engineering.
These measurement techniques are usually employed for analyzing two-dimensional fluid flow.
Therefore, to analyze three-dimensional phenomena such as real fluid flow, it is necessary to measure three-dimensional particle distribution.
Digital holography is a monocular measurement technique to record and reconstruct three-dimensional object.
The technique is used to measure small objects such as particles.
Consequently, the digital holographic particle measurement can be applied to three-dimensional PIV or PTV.
However in digital holography, the measurement accuracy in depth is reduced because a reconstructed particle image is elongated along the depth axis.
In order to overcome this difficulty, deconvolution technique was employed to suppress the particle image elongation.
The deconvolution technique is a process to calculate the particle distribution by regarding reconstructed particle images as convolution of the particle distribution and point spread function in three-dimensional space.
This paper evaluates the performance of digital holographic particle measurement using the deconvolution technique for measuring three-dimensional flows.
We used this deconvolution technique to detect the particle displacement in order to confirm its accuracy in suppressing the particle elongation.
In numerical simulation, the measurement accuracies with and without the deconvolution technique are evaluated within the cubic cavity flow model.
This research shows that using this deconvolution technique successfully suppresses particle elongation and thereby improves the measurement accuracy of particle displacement within the cubic cavity flow model.


Key words

Flow measurements, Particle measurement, Digital holography, Deconvolution



Fig. 1 Principle of digital holography

Fig. 2 Cavity flow model

ツ(a)True vector

(b)Without deconvolution

(c)With deconvolution

Fig. 3 Comparison of displacement vectors

Last Update:2.19.2015