Predicting the flowability of powder mixtures from their single components properties through the multi-component population-dependent granular bond number; extension to ground powder mixtures

The granular Bond number, defined as the ratio between interparticle attractive forces and particle's weight, can be computed to predict flow behavior of powders. Previous studies used this dimensionless number flowability various pharmaceutical or ceramic powders, exhibiting polydispersed particle size distributions. In paper, we employ a multi-component population-dependent in order apply model powder mixtures. Some binary ternary mixtures are prepared using two different techniques: Turbula® mixer ball mill. predictions appear very good agreement with empirical measurements, carried out shear tester. However, parameters seem slightly milled raw discussed paper allows prediction according their composition serve guide for product formulation equipment design.