Granular Mixing and Segregation: Continuum Modelling and Processes Optimisation

Solid particles, as the second-largest group of material on earth, are important in many industries. Unlike fluid mixing, the particles can segregate (or de-mixing) due to differences in size and density while being mixed. This thesis develops an efficient computational model to further understanding the mechanism of solid mixing and segregation, thus improved the efficiency of processing industries. This new model is generally applicable in different systems from simple to complex.