Rheology of a suspension of particles in viscoelastic fluids

Neelesh A. Patankar, Howard H. Hu

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

In this paper we study the bulk stress of a suspension of rigid particles in viscoelastic fluids. We first apply the theoretical framework provided by Batchelor to derive an analytical expression for the bulk stress of a suspension of rigid particles in a second-order fluid under the limit of dilute and creeping flow conditions. The application of the suspension balance model using this analytical expression leads to the prediction of the migration of particles towards the centerline of the channel in pressure-driven flows. This is in agreement with experimental observations. We next examine the effects of inertia (or flow Reynolds number) on the rheology of dilute suspensions in Oldroyd-B fluids by two-dimensional direct numerical simulations. Simulation results are verified by comparing them with the analytical expression in the creeping flow limit. It is seen that the particle contribution to the first normal stress difference is positive and increases with the elasticity of the fluid and the Reynolds number. The ratio of the first normal stress coefficient of the suspension and the suspending fluid decreases as the Reynolds number is increased. The effective viscosity of the suspension shows a shear-thinning behavior (in spite of a non-shear-thinning suspending fluid) which becomes more pronounced as the fluid elasticity increases.

Original languageEnglish (US)
Pages (from-to)427-443
Number of pages17
JournalJournal of Non-Newtonian Fluid Mechanics
Volume96
Issue number3
DOIs
StatePublished - Jan 30 2001

Funding

This work was supported by the National Science Foundation under HPCC Grand Challenge Grant ECS-9527123 and CTS 94-10022 and by the Research Foundation of the University of Pennsylvania.

ASJC Scopus subject areas

  • General Chemical Engineering
  • General Materials Science
  • Condensed Matter Physics
  • Mechanical Engineering
  • Applied Mathematics

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