Measurement parameters of particle image velocimetry (PIV) for an open channel backward-facing step flow
2004
Tanaka, H. (Kyushu Univ., Fukuoka (Japan)) | Hiramatsu, K. | Mori, M. | Shikasho, S.
Particle Image Velocimetry (PIV) is a method for measuring velocity distribution of fluctuating water flow or air flow through the digital image processing of multi-couples of images obtained by flow visualization. Using the PIV, velocities at many points in a series of digital images could be easily measured without inserting a measuring probe into flow, which results in a drastic reduction in measuring hours. The PIV also has a secondary advantage in that an experimenter can visually confirm flow patterns in measuring velocity distribution. Despite these advantages, it is not easy to obtain the velocity measurements with high precision because of the difficulty in determining the measurement parameters in the PIV system. In this paper, two measurement parameters used in the density correlation method and the gray level difference accumulation method of the PIV system, an interrogation region and a search region, were experimentally investigated by comparing the velocity distributions measured by a Laser Doppler Anemometer (LDA) and the PIV. An open channel backward-facing step flow was used for the investigation because this flow has a great variety of velocity distributions in a relatively short experimental section. The interrogation region is a square frame of pixels, and a two-dimensional distribution pattern of gray level in this region is compared with that in its neighbors in the density correlation method. The search region is a square frame of pixels in which the similar pattern to that in the interrogation region is searched in the density correlation method. The results indicated that the interrogation region should have an adequate size of pixels in which a definite distribution pattern of gray level was secured. The search region should be determined by considering the maximum velocity, the frame rate of CCD and the spatial resolution of images.
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