高速度ビデオカメラを用いた連続画像データ処理による粒子画像計測法(PIV)の開発

概要

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To improve the measurement accuracy of particle image velocimetry(PIV), three or more images should be analyzed for the same particles. But the analyzing images were increased, calculation times increase rapidly. In this paper, a simple algorithm was devoloped to obtain flow velocity by using a personal computer. A lot of sequential image data are stored in large memory using a high-speed video camera. Those images are piled, and three-dimensional brightness distribution(x-y-t)data is prepared. These data are transformed to two dimensional image data by projection them to x-t or y-t plane. Then velocity components are derived from the derivatives of these two projected images, dx/dt or dy/dt. A standard image provided by the Visualization Society of Japan is analyzed to verify the algorithm and a measured result of separated flow around a cylinder is shown.
社団法人日本機械学会の論文
2000-02-25