HIGH POTENTIALITY AND APPLICABILITY OF 2-D AND 3-D PARTICLE IMAGING VELOCIMETRY

Abstract

In a calculation of an image cross-correlation coefficient, an identification of each particle is calculated based on the similarity of the particle distribution pattern between two-consecutive images using the cross-correlation coefficient. The calculation of the cross- correlation coefficient for 8-bit image data is time consuming. However, its calculation time using the binary image data is shorter. Consequently, the binary image cross-correlation method has the advantage of the high speed algorithm for the particle tracking. The mathematical fundamentals of the binary image cross-correlation are given and generalized. Secondary applications of the method are presented, ie, two-dimensional measurements of unsteady flows inside and outside a hollow circular cylinder, a torque converter internal flow, a flow with a bubble, a heart muscle movement, and also a three-dimensional measurement of a two-phase flow in a bubbling-jet water vessel. Finally, the high potential and applicability of the method are described.