Quantitative Prediction of Segregation at Process Level
Executive Summary
scale.
device-level transport equations in order to supply quantitative prediction of segregation at process
our ultimate aim is (experimentally) validated segregation models that can be incorporated into
applicable to density, size, shape, and cohesive segregation. As this project continues to mature
novel inherently-scalable models based on rheologically-relevant dimensionless groups that are
be considered state-of-the-art, but, more importantly, we have begun theoretical development of
previously reported. Thus far we have demonstrated which models from the literature may
way of structuring segregation rate models that make them inherently more scalable than any models
of the interplay between granular rheology and segregation, we aim to continue to develop a new
deduce the segregation rate (and validate the expressions). Moreover, by exploring a novel view
expressions that we are interested in testing with dramatically simplified experiments to ultimately
this balance between the rate of segregation and the perturbation rate, we can combine the model
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
- for validation purposes
- the significant dearth of validated scale-up studies for these models.
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