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The rheology of suspensions of Brownian, or colloidal, particles (diameter $d lesssim 1$ $mu$m) differs markedly from that of larger grains ($d gtrsim 50$ $mu$m). Each of these two regimes has been separately studied, but the flow of suspensions with intermediate particle sizes (1 $mutextrm{m} lesssim d lesssim 50$ $mu$m), which occur ubiquitously in applications, remains poorly understood. By measuring the rheology of suspensions of hard spheres with a wide range of sizes, we show experimentally that shear thickening drives the transition from colloidal to granular flow across the intermediate size regime. This insight makes possible a unified description of the (non-inertial) rheology of hard spheres over the full size spectrum. Moreover, we are able to test a new theory of friction-induced shear thickening, showing that our data can be well fitted using expressions derived from it.
We explore the rheology predicted by a recently proposed constitutive model for jammed suspensions of soft elastic particles derived from microscopic dynamics [Cuny et al., arXiv:2102.05938]. Our model predicts that the orientation of the anisotropy
Mixing a small amount of liquid into a powder can give rise to dry-looking granules; increasing the amount of liquid eventually produces a flowing suspension. We perform experiments on these phenomena using Spheriglass, an industrially-realistic mode
Dense suspensions of hard particles in a Newtonian liquid can be jammed by shear when the applied stress exceeds a certain threshold. However, this jamming transition from a fluid into a solidified state cannot be probed with conventional steady-stat
Microcapsules are commonly used in applications ranging from therapeutics to personal care products due to their ability to deliver encapsulated species through their porous shells. Here, we demonstrate a simple and scalable approach to fabricate mic
We develop a statistical framework for the rheology of dense, non-Brownian suspensions, based on correlations in a space representing forces, which is dual to position space. Working with the ensemble of steady state configurations obtained from simu