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MM: Fachverband Metall- und Materialphysik

MM 76: Methods in Computational Materials Modelling (methodological aspects, numerics)

MM 76.5: Talk

Friday, March 16, 2018, 12:15–12:30, TC 006

Resistor network simulation method for graphene-based conductive fibers — •Leo Rizzi^1,4, 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.