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Percolation of rigid fractal carbon black aggregates
Univ Freiburg, Inst Phys, Hermann Herder Str 3, D-79104 Freiburg, Germany..
INM Leibniz Inst New Mat, Campus D2 2, D-66123 Saarbrucken, Germany..
INM Leibniz Inst New Mat, Campus D2 2, D-66123 Saarbrucken, Germany..
Deutsch Elektronen Synchrotron DESY, Notkestr 85, D-22607 Hamburg, Germany..
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2021 (English)In: Journal of Chemical Physics, ISSN 0021-9606, E-ISSN 1089-7690, Vol. 155, no 12, article id 124902Article in journal (Refereed) Published
Abstract [en]

We examine network formation and percolation of carbon black by means of Monte Carlo simulations and experiments. In the simulation, we model carbon black by rigid aggregates of impenetrable spheres, which we obtain by diffusion-limited aggregation. To determine the input parameters for the simulation, we experimentally characterize the micro-structure and size distribution of carbon black aggregates. We then simulate suspensions of aggregates and determine the percolation threshold as a function of the aggregate size distribution. We observe a quasi-universal relation between the percolation threshold and a weighted average radius of gyration of the aggregate ensemble. Higher order moments of the size distribution do not have an effect on the percolation threshold. We conclude further that the concentration of large carbon black aggregates has a stronger influence on the percolation threshold than the concentration of small aggregates. In the experiment, we disperse the carbon black in a polymer matrix and measure the conductivity of the composite. We successfully test the hypotheses drawn from simulation by comparing composites prepared with the same type of carbon black before and after ball milling, i.e., on changing only the distribution of aggregate sizes in the composites.& nbsp;

Place, publisher, year, edition, pages
AIP Publishing , 2021. Vol. 155, no 12, article id 124902
National Category
Physical Chemistry Composite Science and Engineering Polymer Technologies
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URN: urn:nbn:se:kth:diva-305631DOI: 10.1063/5.0058503ISI: 000719446000009PubMedID: 34598569Scopus ID: 2-s2.0-85115948911OAI: oai:DiVA.org:kth-305631DiVA, id: diva2:1617128
Note

QC 20211206

Available from: 2021-12-06 Created: 2021-12-06 Last updated: 2022-06-25Bibliographically approved

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Roth, Stephan V.

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