Jump to main content
Jump to site search

Issue 19, 2015
Previous Article Next Article

Modeling tensorial conductivity of particle suspension networks

Author affiliations

Abstract

Significant microstructural anisotropy is known to develop during shearing flow of attractive particle suspensions. These suspensions, and their capacity to form conductive networks, play a key role in flow-battery technology, among other applications. Herein, we present and test an analytical model for the tensorial conductivity of attractive particle suspensions. The model utilizes the mean fabric of the network to characterize the structure, and the relationship to the conductivity is inspired by a lattice argument. We test the accuracy of our model against a large number of computer-generated suspension networks, based on multiple in-house generation protocols, giving rise to particle networks that emulate the physical system. The model is shown to adequately capture the tensorial conductivity, both in terms of its invariants and its mean directionality.

Graphical abstract: Modeling tensorial conductivity of particle suspension networks

Back to tab navigation

Publication details

The article was received on 13 Jan 2015, accepted on 27 Mar 2015 and first published on 30 Mar 2015


Article type: Paper
DOI: 10.1039/C5SM00093A
Author version
available:
Download author version (PDF)
Soft Matter, 2015,11, 3875-3883

  •   Request permissions

    Modeling tensorial conductivity of particle suspension networks

    T. Olsen and K. Kamrin, Soft Matter, 2015, 11, 3875
    DOI: 10.1039/C5SM00093A

Search articles by author

Spotlight

Advertisements