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Issue 19, 2015
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Modeling tensorial conductivity of particle suspension networks

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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

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Article information

13 Jan 2015
27 Mar 2015
First published
30 Mar 2015

Soft Matter, 2015,11, 3875-3883
Article type
Author version available

Modeling tensorial conductivity of particle suspension networks

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

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