Viscosity prediction of dense slurries with agglomerative coal particles

Abstract

The shape of suspended particle affects the rheological characteristics of slurries. The sphericity of coal particles depending on the particle diameter was measured by means of an image processing instrument. An algorithm to predict the maximum packing volume fraction with non-spherical particles was proposed. The maximum packing volume fraction combined with Simha's cell model and Usui's suspension rheology model was used to predict the slurry viscosity. It was certified that the maximum packing volume fraction for non-spherical particles can be successfully used to predict non-Newtonian slurry viscosity.