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Electric Resistance of Elastic Strain Sensors-Fundamental Mechanisms and Experimental Validation
Guangdong Polytech Normal Univ, Sch Automobile & Transportat Engn, Guangzhou 510450, Peoples R China..
Guangdong Polytech Normal Univ, Sch Automobile & Transportat Engn, Guangzhou 510450, Peoples R China..
Guangzhou Highteen Plast Co Ltd, Guangzhou 510800, Peoples R China..
Guangzhou Highteen Plast Co Ltd, Guangzhou 510800, Peoples R China..
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2023 (English)In: Nanomaterials, E-ISSN 2079-4991, Vol. 13, no 12, article id 1813Article in journal (Refereed) Published
Abstract [en]

Elastic strain sensor nanocomposites are emerging materials of high scientific and commercial interest. This study analyzes the major factors influencing the electrical behavior of elastic strain sensor nanocomposites. The sensor mechanisms were described for nanocomposites with conductive nanofillers, either dispersed inside the polymer matrix or coated onto the polymer surface. The purely geometrical contributions to the change in resistance were also assessed. The theoretical predictions indicated that maximum Gauge values are achieved for mixture composites with filler fractions slightly above the electrical percolation threshold, especially for nanocomposites with a very rapid conductivity increase around the threshold. PDMS/CB and PDMS/CNT mixture nanocomposites with 0-5.5 vol.% fillers were therefore manufactured and analyzed with resistivity measurements. In agreement with the predictions, the PDMS/CB with 2.0 vol.% CB gave very high Gauge values of around 20,000. The findings in this study will thus facilitate the development of highly optimized conductive polymer composites for strain sensor applications.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 13, no 12, article id 1813
Keywords [en]
strain-sensor, PDMS, CB, nanocomposite, modelling, electrical resistivity
National Category
Composite Science and Engineering
Identifiers
URN: urn:nbn:se:miun:diva-49013DOI: 10.3390/nano13121813ISI: 001014593900001PubMedID: 37368243Scopus ID: 2-s2.0-85163998275OAI: oai:DiVA.org:miun-49013DiVA, id: diva2:1787578
Available from: 2023-08-14 Created: 2023-08-14 Last updated: 2024-08-13Bibliographically approved

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Nilsson, Fritjof

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