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Article: Super-sensitive nanobrush-based carbon nanofiber aggregates
Title | Super-sensitive nanobrush-based carbon nanofiber aggregates |
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Authors | |
Issue Date | 10-Jan-2024 |
Publisher | Elsevier |
Citation | Materials & Design, 2024, v. 238 How to Cite? |
Abstract | A carbon nanofiber aggregate of exceptional sensitivity is developed. Our approach involves the development and utilization of a novel nanobrush structure of carbon nanofiber within the mortar matrix. The high number of nanostructures in the nanobrush, particularly near the electrodes, results in a greater number of nanogaps, leading to a substantial improvement in sensitivity. We are able to detect forces as small as 1 N using this sensor. The carbon nanofiber brush (CNFB) provides a well-defined conductive path for the piezoresistive functioning of the super-sensitive carbon nanofiber aggregate (SSCNFA) with significantly reduced cost. The influence of scanning frequency in impedance is rigorously investigated with alternating current (AC) based on two methods. SSCNFAs are tested in uniaxial compression to determine the highly sensitive face of cube sensor. An SSCNFA (0.05 % CNFs, dense electrodes) and a CNFA (0.5 % CNFs, wide-spaced electrodes) were tested in a sweep-frequency test under parallel compression to compare the super-sensitive performance of the new sensor. The gauge factors at various frequencies were determined. The electrical impedance measured at various frequencies provides versatility to the SSCNFA for stress monitoring. Four fixed-frequency tests were conducted to determine the resolution under uniaxial compression and examine repeatability. |
Persistent Identifier | http://hdl.handle.net/10722/339636 |
ISSN | 2023 Impact Factor: 7.6 2023 SCImago Journal Rankings: 1.684 |
DC Field | Value | Language |
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dc.contributor.author | Joshi, Bhagirath | - |
dc.contributor.author | Wang, Jiaji | - |
dc.contributor.author | Shan, Xiaonan | - |
dc.contributor.author | Mo, YL | - |
dc.contributor.author | Hsu, Thomas TC | - |
dc.date.accessioned | 2024-03-11T10:38:09Z | - |
dc.date.available | 2024-03-11T10:38:09Z | - |
dc.date.issued | 2024-01-10 | - |
dc.identifier.citation | Materials & Design, 2024, v. 238 | - |
dc.identifier.issn | 0264-1275 | - |
dc.identifier.uri | http://hdl.handle.net/10722/339636 | - |
dc.description.abstract | <p>A carbon nanofiber aggregate of exceptional sensitivity is developed. Our approach involves the development and utilization of a novel nanobrush structure of carbon nanofiber within the mortar matrix. The high number of nanostructures in the nanobrush, particularly near the electrodes, results in a greater number of nanogaps, leading to a substantial improvement in sensitivity. We are able to detect forces as small as 1 N using this sensor. The carbon nanofiber brush (CNFB) provides a well-defined conductive path for the piezoresistive functioning of the super-sensitive carbon nanofiber aggregate (SSCNFA) with significantly reduced cost. The influence of scanning frequency in impedance is rigorously investigated with alternating current (AC) based on two methods. SSCNFAs are tested in uniaxial compression to determine the highly sensitive face of cube sensor. An SSCNFA (0.05 % CNFs, dense electrodes) and a CNFA (0.5 % CNFs, wide-spaced electrodes) were tested in a sweep-frequency test under parallel compression to compare the super-sensitive performance of the new sensor. The gauge factors at various frequencies were determined. The electrical impedance measured at various frequencies provides versatility to the SSCNFA for stress monitoring. Four fixed-frequency tests were conducted to determine the resolution under uniaxial compression and examine repeatability.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Materials & Design | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Super-sensitive nanobrush-based carbon nanofiber aggregates | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.matdes.2024.112636 | - |
dc.identifier.volume | 238 | - |
dc.identifier.eissn | 1873-4197 | - |
dc.identifier.issnl | 0264-1275 | - |