COMPUTER MODELING OF GRAIN MICROSTRUCTURE IN 3 DIMENSIONS

We present a program that generates the two-dimensional micrographs of a three dimensional grain microstructure. The code utilizes a novel s canning, pixel mapping technique to secure statistical distributions o f surface areas, grain sizes, aspect ratios, perimeters, number of nea rest neighbors and volumes of the randomly nucleated particles. The pr ogram can be used for comparing the existing theories of grain growth, and interpretation of two-dimensional microstructure of three-dimensi onal samples. Special features have been included to minimize the comp utation time and resource requirements.