Advanced Statistical Analysis of Grain Structure in Single-Phase Materials Nanostructured by High-Pressure Torsion

Abstract

Elaboration of statistical analysis of grain structure in bulk single-phase metal materials, subjected to high-pressure torsion, is proposed. The method includes a combination of logarithmic standard distribution and Gauss distribution, in order to improve fitting of histograms of grain size distribution by the statistical model. The possibility of division of grain structure into different groups, taking into account specific features of distributions in every group, is demonstrated. The use of calculated parameters of grain size distributions is proposed to identify groups of grains by their origin. The grain structure analysis is given by an example of tin bronze nanostructured by high-pressure torsion. The agreement of the analysis results with the experimental data is demonstrated.