Porosity Estimation for a Multi-Size-Component Mixture

Abstract

Two existing theories for porosity estimation from particle size distribution were examined by using past experimental data from a binary mixture. In addition, porosity computations by the authors' recent theory were carried out with mixtures of both Gaussian and log-normal size distributions. Several discussions presented in the paper suggest that the authors' theory can be applied widely up to the mixtures of the solid particles the sizes of which are remarkably different.