Kinetic theory of shear thickening for a moderately dense gas-solid suspension: From discontinuous thickening to continuous thickening

Hisao Hayakawa, Satoshi Takada, and Vicente Garzó
Phys. Rev. E 96, 042903 – Published 11 October 2017; Erratum Phys. Rev. E 101, 069904 (2020)
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Abstract

The Enskog kinetic theory for moderately dense gas-solid suspensions under simple shear flow is considered as a model to analyze the rheological properties of the system. The influence of the environmental fluid on solid particles is modeled via a viscous drag force plus a stochastic Langevin-like term. The Enskog equation is solved by means of two independent but complementary routes: (i) Grad's moment method and (ii) event-driven Langevin simulation of hard spheres. Both approaches clearly show that the flow curve (stress-strain rate relation) depends significantly on the volume fraction of the solid particles. In particular, as the density increases, there is a transition from the discontinuous shear thickening (observed in dilute gases) to the continuous shear thickening for denser systems. The comparison between theory and simulations indicates that while the theoretical predictions for the kinetic temperature agree well with simulations for densities φ0.5, the agreement for the other rheological quantities (the viscosity, the stress ratio, and the normal stress differences) is limited to more moderate densities (φ0.3) if the inelasticity during collisions between particles is not large.

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  • Received 30 July 2017

DOI:https://doi.org/10.1103/PhysRevE.96.042903

©2017 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Erratum

Authors & Affiliations

Hisao Hayakawa*

  • Yukawa Institute for Theoretical Physics, Kyoto University, Kyoto 606-8502, Japan

Satoshi Takada

  • Earthquake Research Institute, University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo 113-0032 Japan and Department of Physics, Kyoto University, Kyoto 606-8502, Japan

Vicente Garzó

  • Departamento de Física and Instituto de Computación Científica Avanzada, Universidad de Extremadura, 06071 Badajoz, Spain

  • *hisao@yukawa.kyoto-u.ac.jp

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Issue

Vol. 96, Iss. 4 — October 2017

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