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Development of gas sensor based on fractal substrate structures
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Jiang, Anyan, Tian, Fengchun, Covington, James A., Jiang, Maogang and Wu, Zhiyuan (2022) Development of gas sensor based on fractal substrate structures. IEEE Transactions on Instrumentation and Measurement, 71 . pp. 1-7. 9506207. doi:10.1109/tim.2022.3175026 ISSN 1557-9662.
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WRAP-Development-gas-sensor-fractal-substrate-structures-2022.pdf - Accepted Version - Requires a PDF viewer. Download (1408Kb) | Preview |
Official URL: https://doi.org/10.1109/tim.2022.3175026
Abstract
Gas sensor plays a key role in many applications with sensitivity being a critical performance characteristic. Increasing the surface area of gas sensing material is one approach that can increase sensitivity. Fractal geometries, which have the large specific surface area and special fractal dimension, have previously been successfully used in the design of macrostructure and microstructure of gas sensors to improve their performance. In this article, the influence of geometrical structure of the substrate on the gas sensor performance has been investigated. Two fractal structures (Koch snowflake and Menger sponge) and one traditional structure (Cylinder) were fabricated by 3-D printing and coated in Ag-doped multiwalled carbon nanotube (Ag:MWCNT)-based sensing materials. The fabricated sensors were tested with nitrogen dioxide at different temperatures and humidity. Experimental results show that the sensitivity of gas sensors with fractal structures is increased more than twice that of those with traditional geometrical structures.
| Item Type: | Journal Article | ||||||
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| Subjects: | T Technology > TP Chemical technology T Technology > TS Manufactures |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Library of Congress Subject Headings (LCSH): | Gas detectors, Fractals, Three-dimensional printing | ||||||
| Journal or Publication Title: | IEEE Transactions on Instrumentation and Measurement | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| ISSN: | 1557-9662 | ||||||
| Official Date: | 13 May 2022 | ||||||
| Dates: |
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| Volume: | 71 | ||||||
| Page Range: | pp. 1-7 | ||||||
| Article Number: | 9506207 | ||||||
| DOI: | 10.1109/tim.2022.3175026 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 13 June 2022 | ||||||
| Date of first compliant Open Access: | 13 June 2022 | ||||||
| RIOXX Funder/Project Grant: |
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