Shear-induced particle migration and segregation in non-Brownian bidisperse suspensions under planar Poiseuille flow
- Authors
- Chun, Byoungjin; Park, Jin Seok; Jung, Hyun Wook; Won, You-Yeon
- Issue Date
- 5월-2019
- Publisher
- JOURNAL RHEOLOGY AMER INST PHYSICS
- Citation
- JOURNAL OF RHEOLOGY, v.63, no.3, pp.437 - 453
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF RHEOLOGY
- Volume
- 63
- Number
- 3
- Start Page
- 437
- End Page
- 453
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/65842
- DOI
- 10.1122/1.5065406
- ISSN
- 0148-6055
- Abstract
- In our previous work [Chun et al., Phys. Fluids 29, 121605 (2017)], we studied the migration behavior of concentrated monodisperse particles in Couette-Poiseuille flows. Here, we extend this study into an investigation of concentrated (phi(0) = 0.3) bidisperse suspensions undergoing pressure-driven flows at various combinations of volume fraction ratio (phi(0)(S)/phi(0)= 0.13-0.67) and size ratio (a(L)/a(S) = 1.4-2.4) between small (2a(S)/H = 0.022) and large (2a(L)/H = 0.031-0.052) particles in a planar channel of height H. The flow behavior of neutrally buoyant hard spheres suspended in a Newtonian fluid was numerically simulated using the lattice Boltzmann method. The time evolution of the distributions of small and large particles showed segregation under inhomogeneous shear flow, resulting in enrichment of large particles and depletion of small particles near the midplane. Size-dependent particle segregation was more pronounced in these simulations than what was previously observed in the experiment. In bidisperse suspensions, the concentration evolution was markedly slower than in monodisperse situations; the characteristic time to reach a steady state was 5-8 times longer in bidisperse systems. The results of lattice Boltzmann simulation were further analyzed within the framework of a reformulated polydisperse diffusive flux model [Shauly et al., J. Rheol. 42, 1329 (1998)]; four coefficients of the diffusive flux model were adjusted to match steady-state (K-L, K-S) and transient (R-L, R-S) predictions. The model coefficients showed strong dependence on the particle number density ratio (phi(0)(S)/phi(0))(a(L)/a(S))(3); both K-L and R-L increased almost linearly with this ratio, whereas K-S decreased and R-S increased with this ratio. (C) 2019 The Society of Rheology.
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