Abstract
In this paper, the outline of our PIV technique for low-velocity-airflow measurement using visualized images with smoke particles was introduced, and the characteristics of this technique was inspected by applying it to simulated visualized images of the flow for standard images prepared by The Visualization Society of Japan. From the inspection, the following characteristics were confirmed: 1) Smoke images are inferior to particle images in the accuracy of measurement, and the visualization to obtain fine pattern of tracer concentration distribution is essential to improve the accuracy. 2) The error of vector extraction can be reduced by introducing the safety factor to the threshold in the successive abandonment algorithm. 3) The deterioration of the performance due to the use of field images obtained through interlace scanning of conventional cameras is small in smoke images compared with particle images. The technique was tried to apply to the measurement of an unsteady airflow past a plate. The movement of Karman vortex toward the dawn stream was observed clearly in the result, and the technique was confirmed to be applicable also to unsteady flow.
