2018
DOI: 10.1122/1.5011353
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Bidisperse and polydisperse suspension rheology at large solid fraction

Abstract: At the same solid volume fraction, bidisperse and polydisperse suspensions display lower viscosities, and weaker normal stress response, compared to monodisperse suspensions. The reduction of viscosity associated with size distribution can be explained by an increase of the maximum flowable, or jamming, solid fraction φ m . In this work, concentrated or "dense" suspensions are simulated under strong shearing, where thermal motion and repulsive forces are negligible, but we allow for particle contact with a mil… Show more

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Cited by 84 publications
(62 citation statements)
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“…2, show a remarkably similarity in form compared to simulations of isotropically-compressed packings [19] and simple shear [40] of monodisperse granular spheres. Our φ µ J values are slightly higher than those in monodisperse systems, as expected [41]. The same is true of Z µ J even in the 0.56…”
Section: Resultssupporting
confidence: 84%
“…2, show a remarkably similarity in form compared to simulations of isotropically-compressed packings [19] and simple shear [40] of monodisperse granular spheres. Our φ µ J values are slightly higher than those in monodisperse systems, as expected [41]. The same is true of Z µ J even in the 0.56…”
Section: Resultssupporting
confidence: 84%
“…The unifying framework of µ(I) rheology is appealing in its simplicity, and recent work has demonstrated how it may be generalized to account for: Non-Newtonian carrier fluids [226]; thermal effects [227]; and cohesion [228,229]. On the other hand, qualitative changes in flow behavior may be induced by: particle polydispersity and shape [230,231], surface roughness [124], repulsion [130] and hydrogen bonding [125], at-traction [74], and capillary forces [232]. All of these factors ultimately influence particle microstructure, and explicit accounting for these changes in bulk continnum models is a challenge.…”
Section: Outstanding Problemsmentioning
confidence: 99%
“…The angle bracket represents the ensemble average among independent realizations, which in the current case is through time averaging given the ergodic hypothesis. Similar techniques have recently been used in calculating PPDFs in bidisperse and polydisperse rigid particle suspensions (Wang & Brady 2016;Pednekar et al 2018). Projection of g 21 (r) to principal planes follows the integration procedure discussed in Kumar & Higdon (2011) but with a smaller integration interval, [−a 2 /4, a 2 /4], to better capture the RBC morphological change.…”
Section: Discussionmentioning
confidence: 99%
“…Figure 7 presents a matrix of g 21 (r) projections onto the velocity-velocity gradient (xy) plane, the velocity-vorticity (xz) plane and the velocity gradient-vorticity (yz) plane under two shear rates (γ=100 or 2000 s −1 ) and two haematocrits (φ=0.1 or 0.4). In general, all PPDFs feature a large-scale rhombus shape as opposed to typical circular shape commonly observed in rigid-sphere-particle suspensions (Foss & Brady 2000a;Wang & Brady 2016;Pednekar et al 2018). This can be attributed to the disk-shape of RBC that causes geometry-specific anisotropy of the microstructure.…”
Section: Microstructurementioning
confidence: 92%