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    Why study granular mixing? The simple answer lies in its undeniable industrial importance. A more subtle reason is that mixing flows generate unique qualitative patterns that are easily visualized and verified; because of this, mixing studies allow relatively modest computational experiments to effectively probe complex flows and to test the robustness of model theories. In particular, particle dynamics simulations allow access to information which would be very difficult or impossible to measure in a physical experiment such as, instantaneous force distributions, three dimensional concentration and velocity profiles, etc. This project ostensibly focuses on cohesive mixing, yet insight into granulation and aggregate break-up processes -- with implications far beyond granular mixing -- will be gained.
Varying Wetting Angles: Our theories predict that particles with differing surface properties (red-hydrophilic and green-hydrophobic) but otherwise identical in all other respects will mix perfectly when (a) tumbled dry; however, (b) when interstitial water is added, they will instead segregate.
    Many of the industries which deal with particulate materials are in some way affected by cohesion; most notably the pharmaceutical, metallurgical, and pigment industries. Cohesion between particles arises from a variety of sources: van der Waals forces, electrostatic forces, and liquid bridging (capillary forces), to name a few. These interparticle forces become increasingly important as particle size decreases and, as cohesion becomes important, substantial departure from the behavior of free-flowing particulate systems becomes evident. For the case of free-flowing powders, it is necessary to attempt to restrict particle motion in order to minimize segregation or de-mixing. In contrast, in cohesive systems, particles tend to segregate into aggregates that must be broken apart to attain a quality mixture. Despite this fundamental difference, some of the tools that have proven effective for the study of cohesionless materials can still be employed for cohesive systems -- specifically, particle dynamics simulations. To that end, a cohesive-solid particle dynamics code is being developed to study the change in stable heap angle as a function of global Bond number (the ratio of particle weight to attractive force) as well as the evolution of mixing in a rotated drum. Here, we are concerned with moderately sized particles, ~1mm, and so we devote our attention to the forces attributable to interstitial liquid -- the dominant interaction effect at these length scales.
Varying Size Ratio and Wetting Angle. Our theories predict a wealth of behavior when multiple particle proerties vary. From top to bottom the rows correspond to size ratios of 0.25, 0.53 and 0.75, respectively. From left to right the images represent results when dry -- (a), (b) and (c); wet with the smaller particle (green) being more hydrophilic -- (d), (e), and (f); wet with both particles hydrophilic -- (g), (h) and (i); and wet with the smaller particle (red/orange) being more hydrophobic -- (j), (k) and (l). Results are in agreement with the predictions from theory.
    By taking a discrete view of cohesion, we develop a particle-level model which can accurately predict the extent of particle mixing and segregation in cohesive (wet) granular systems. Our model is based on a discrete characterization tool and is used to generate phase diagrams of the predicted particle behavior. These phase diagrams exhibit both mixed and segregated phases where the boundary is determined by the mechanical and surface properties of the particles, such that manipulation of surface properties and/or size/density ratios provides a novel method to control cohesive particle mixing and segregation A detailed description of the phase diagram development process as well as quantitative validation of the theoretical results are reported here for the first time. These results have implications for pharmaceutical formulations, industrial mixing/separation processes, and novel particle production methods (e.g., engineered agglomerates with precisely prescribed compositions) (Visit out Papers List for the latest information!)



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