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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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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
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Soft Matter, 2015,11, 3875-3883

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    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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