Elastic electrically conductive composites based on vapor-grown carbon fibers for use in sensors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F23%3A63567598" target="_blank" >RIV/70883521:28110/23:63567598 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2073-4360/15/9/2005" target="_blank" >https://www.mdpi.com/2073-4360/15/9/2005</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/polym15092005" target="_blank" >10.3390/polym15092005</a>

Result language

angličtina

Original language name

Elastic electrically conductive composites based on vapor-grown carbon fibers for use in sensors

Original language description

Elastic electrically conductive composites with an ethylene octene copolymer matrix (EOC) and vapor-grown carbon fibers (VGCF) were prepared by ultrasonication in a toluene solution, and their morphology, mechanical and electrical properties were also evaluated. EOC/CF composites were estimated for their mechanical and viscoelastic properties. The morphology of the composites was analyzed using scanning electron microscopy (SEM), and stress-strain curves were generated to measure the stress and tensile modulus of the composites. The experimental results were compared with various theoretical models, including the Burgers model, which separates viscoelastic behavior into several components. A dynamic mechanical analysis was also used to measure the composites&apos; storage modulus, loss modulus, and damping factor at different frequencies. The composites&apos; complex viscosity and storage modulus were increased with higher wt.% of CF, which enhances the elastic response. Electrical resistivity measurements were conducted on the composites and it was found that the resistivity decreased as the sample was loaded and increased as it was unloaded. Overall, the study provides insights into the mechanical and viscoelastic properties of EOC/CF composites, which could be helpful in developing sensors such as pressure/strain sensors.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10404 - Polymer science

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Polymers

ISSN

2073-4360

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

9

Country of publishing house

CH - SWITZERLAND

Number of pages

16

Pages from-to

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UT code for WoS article

000987391200001

EID of the result in the Scopus database

2-s2.0-85159372430