Berlin 2018 – wissenschaftliches Programm
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MM: Fachverband Metall- und Materialphysik
MM 76: Methods in Computational Materials Modelling (methodological aspects, numerics)
MM 76.5: Vortrag
Freitag, 16. März 2018, 12:15–12:30, TC 006
Resistor network simulation method for graphene-based conductive fibers — •Leo Rizzi1,4, Andreas Zienert2, Jörg Schuster3, and Martin Köhne4 — 1Faculty of Electrical Engineering and Information Technology, Technische Universität Chemnitz, Chemnitz, Germany — 2Center for Microtechnologies (ZfM), Technische Universität Chemnitz, Chemnitz, Germany — 3Fraunhofer Institute for Electronic Nano Systems (ENAS), Chemnitz, Germany — 4Robert Bosch GmbH, Stuttgart, Germany
In recent years, graphene fibers (GFs) have emerged as a new form of electrical conductors. They consist of an assembly of graphene sheets spun into a textile fiber. GFs are lightweight, mechanically strong, and corrosion resistant. Defect-engineering and doping strategies have continuously improved the electrical conductivity of fibers towards metallic levels. However, it still remains below the conductivities of silver or copper.
While several groups have presented experimental results on the production of GFs, theoretical descriptions predicting their electrical behavior are less advanced. We present a simulative approach to model the electrical conductivity of GFs, based on a three-dimensional random network of resistors. We investigate the influence of the raw material’s properties on the fiber electrical conductivity and identify the main influence parameters. Our results offer a deeper understanding of GFs and can be helpful to further enhance their electrical performance.