The viscoelastic response of Brownian suspensions

C. P. Lowe, A. J. Masters

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In a simple model for the long-time dynamical behavior of Brownian suspensions, particles diffuse independently while simultaneously undergoing direct interactions with each other. Despite its simplicity, this model forms the basis of both the Brownian dynamics computer simulation technique and apparently successful theories. Here we use the approach to study numerically the viscoelastic response of a suspension of hard spheres. At low volume fractions (10%) we find that the frequency dependence of the viscosity is in agreement with theoretical calculations based on solving the two-particle Smoluchowski equation. At a higher volume fraction (45%) we find that the model is not well described by various extensions of low density theory that have been proposed. Including hydrodynamics in a minimal way (by allowing the particles to diffuse with the short-time diffusion coefficient) and comparing with experiment, the model successfully reproduces the viscoelastic response over an intermediate range of frequencies. However, at low frequencies a significant disagreement emerges. A "slowing down" of the dynamics of the particles at longer times, more apparent in the simulations than in the experimental results, appears to be the cause of this discrepancy. Ultimately, this leads to a significant overestimate of the zero frequency (Newtonian) viscosity. The reason theories based on the approach yield such excellent agreement with experiment, we can only conclude, is because they fail to describe the model adequately. © 1999 American Institute of Physics.
    Original languageEnglish
    Pages (from-to)8708-8720
    Number of pages12
    JournalJournal of Chemical Physics
    Volume111
    Issue number18
    Publication statusPublished - 8 Nov 1999

    Fingerprint

    Dive into the research topics of 'The viscoelastic response of Brownian suspensions'. Together they form a unique fingerprint.

    Cite this