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Proceedings Paper

Experimental study on space and time correspondence of traveling particles for three-dimensional particle image velocimetry by genetic algorithms
Author(s): Ryu-ichiro Ohyama; Kiyoji Kaneko
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Paper Abstract

An image analysis method is proposed for space and time correspondence of discrete traveling particles and is intended for a 3D velocity measurement by particle image velocimetry (PIV). In a principle of the PIV, the particles illuminated for fluid flow visualization are tracked during time fixed, and the velocity is obtained by a computational analysis of moving distance and direction of the tracked particles. This study is based on a thought that the purpose of particle tracking is accomplished by space and time correspondences of the particles The time correspondence is a combination process to find identical particles from particle distributions in two optical images captured with the time difference. Also the space correspondence is a combination process to find identical particles from plural images captured in more than two directions at same time. This process is a suitable image analysis for space position measurement of particles, it is though that the analysis method becomes a conventional technique overcoming the difficulty. In this method, the particle velocity is directly obtained from an optimum correspondence of the discrete particles in space and time. This study devises an application of genetic measurement of particles flowing around a rectangular column and shows the effectiveness of 3D image analysis with genetic algorithms.

Paper Details

Date Published: 21 November 1997
PDF: 12 pages
Proc. SPIE 3172, Optical Technology in Fluid, Thermal, and Combustion Flow III, (21 November 1997); doi: 10.1117/12.279763
Show Author Affiliations
Ryu-ichiro Ohyama, Tokai Univ. (Japan)
Kiyoji Kaneko, Tokai Univ. (Japan)


Published in SPIE Proceedings Vol. 3172:
Optical Technology in Fluid, Thermal, and Combustion Flow III
Soyoung Stephen Cha; James D. Trolinger; Masaaki Kawahashi, Editor(s)

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