DIELECTRICAL ANALYSIS OF COMPOSITE MATERIALS WITH RECYCLED CARBON FIBERS

1 NOVOTNÁ Jana
Co-authors:
1 TOMKOVÁ Blanka 2 MÜLLEROVÁ Jana
Institutions:
1 Department of Material Engineering, Technical University of Liberec, Faculty of Textile engineering, Liberec, Czech Republic, EU, jana.novotna3@tul.cz, blanka.tomkova@tul.cz
2 Technical University of Liberec, Institute for Nanomaterials, Advanced Technology and Innovation, Liberec, Czech Republic, EU, jana.mullerova@tul.cz
Conference:
12th International Conference on Nanomaterials - Research & Application, Brno, Czech Republic, EU, October 21 - 23, 2020
Proceedings:
Proceedings 12th International Conference on Nanomaterials - Research & Application
Pages:
68-74
ISBN:
978-80-87294-98-7
ISSN:
2694-930X
Published:
28th December 2020
Proceedings of the conference have been sent to Web of Science and Scopus for evaluation and potential indexing.
Metrics:
44 views / 20 downloads
Abstract

A series of thin epoxy resin samples were prepared. Short recycled carbon microfibers in concentrations from 0wt% to 33wt% were used as composite fillers. The geometry and structure of these fillers were characterized using SEM and Raman DXR microscopy images. It has been found that the dielectric properties of composites strongly depend on the RCF content and show an increase in values at and above the percolation threshold. Below the percolation threshold, the distance between the fibers is large enough so that there is no interaction of the local fields created by the adjacent fibers and the dielectric constant in this region increases slowly. As the filler concentration increases, the Maxwell Wagner effect increases and leads to a sharp increase in the real permittivity values. Furthermore, it was found in this work that the permittivity increases with increasing concentration of particles even after reaching the percolation threshold over the entire frequency band.

Keywords: Recycled carbon fibers (RCFs), epoxy composites, dielectrical properties

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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