Abstract
This particle image velocimetry has been studied to find velocity vectors of illuminated particle motion by combinations for identifying particles between two sequential digital flow images. The authors propose the method of applying genetic algorithm to the particle image velocimetry. It is enable us to get the plural of velocity vector at the same time. This paper explains the application of this method to 3-dimensional particle image velocimetry. This method is based on a space correspondence for calculating 3-dimensional particle positions and a time correspondence for calculating the particle velocity vectors. In addition, this paper ijntroduces the results of a numerical simulation using flow model around a prism.
