Quantitative Prediction of Segregation at Process Level

Executive Summary

transport equations in order to supply quantitative prediction of segregation at process scale.

many of these segregation models and have set the stage for these models to be used in device-level

are applicable to density, size, shape, and cohesive segregation. We have experimentally validated

inherently-scalable, theoretical models based on rheologically-relevant dimensionless groups that

may be considered state-of-the-art, but, more importantly, we development several novel

than any models previously reported. Thus far we have demonstrated which models from the literature

a new way of structuring segregation rate models that make them inherently more scalable

novel view of the interplay between granular rheology and segregation, we aim to continue to develop

ultimately deduce the segregation rate (and validate the expressions). Moreover, by exploring a

model expressions that we are interested in testing with dramatically simplified experiments to

this balance between the rate of segregation and the perturbation rate, we can combine the

free surface granular flows in order to alter the steady-state distribution of particles. By achieving

is that we use flow perturbations to establish an “equilibrium” between segregation and mixing in

combined theoretical, computational, and experimental program. One unique aspect of our work

In this project, we seek to alleviate these two shortcomings of segregation research through a

are (1) the inherent difficulty in measuring segregation rates (especially in an experimental setting)

practice. Two significant issues that hamper the applicability of models in industry, however,

Segregation model development holds promise for translation of academic research into industrial