Correlation of 2D and 3D Particle Properties with Simulated Particle Imaging Dataset

Abstract

Particle size and shape characteristics are commonly measured with two-dimensional (2D) imaging techniques, two of which are static or dynamic imaging techniques. These 2D particle characteristics need to be applied to particulate processes where they model three-dimensional (3D) processes. The correlation between 2D and 3D particle characteristics is therefore necessary, but the knowledge is still limited to either mathematically simple shapes or specific sets of investigated bulk solids.

A particle dataset consisting of six bulk solids measured with X-ray microscopy was used to simulate the results of 2D imaging techniques to create a database to test the correlation between sets of particle characteristics. The dataset thus created offers the possibility to study the correlation between characteristic values and robustly predict the 3D properties of bulk solids measured with 2D measurement techniques. Several correlations are determined, including 2D shape factors vs.~Wadell's sphericity (3D), and Feret diameters (2D) vs.~particle width (3D).