A Robust Method for Tuning Photoacoustic Gas Detectors

Leis, John and Buttsworth, David (2018) A Robust Method for Tuning Photoacoustic Gas Detectors. IEEE Transactions on Industrial Electronics, 65 (5). pp. 4338-4346. ISSN 0278-0046


Abstract

Detection of gases in industrial contexts is of great importance for ensuring safety in storage and transport, so as to limit atmospheric pollution and precisely control industrial and agricultural processes. Although chemical sensors are in widespread use, solid-state infrared detectors for gas sensing promise numerous advantages over conventional catalytic detectors in terms of sensitivity, calibration requirements, and lifetime. The laser-modulation photoacoustic approach is an alternative. Compared to other approaches, it provides more precise measurements with a stable zero baseline, as well as having significantly less complicated optics than cavity ringdown approaches. One enduring problem, though, is the relatively long time required to make photoacoustic measurements. The key contribution of this paper to the industrial context is twofold: first, we show how a sensitive dual-buffer acoustic resonator may be fabricated using 3D printing, and secondly we describe a method for localizing the peak absorption more rapidly than stepping a laser through the gas absorption profile. Modelling of the proposed approach demonstrates its potential, and the expected results are confirmed using an extensive experimental setup for the detection of methane in air.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2017 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. Second prize winner of the USQ Publication Excellence Award for Journal Articles published during the period September - December 2017.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Date Deposited: 03 Jan 2018 05:15
Last Modified: 16 Mar 2021 05:49
Uncontrolled Keywords: gas leak detection, infrared sensors, natural gas industry, optical spectroscopy, signal processing
Fields of Research (2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090606 Photonics and Electro-Optical Engineering (excl. Communications)
09 Engineering > 0906 Electrical and Electronic Engineering > 090603 Industrial Electronics
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
Fields of Research (2020): 40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400909 Photonic and electro-optical devices, sensors and systems (excl. communications)
40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing
40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400907 Industrial electronics
Socio-Economic Objectives (2008): B Economic Development > 86 Manufacturing > 8615 Instrumentation > 861501 Industrial Instruments
Socio-Economic Objectives (2020): 24 MANUFACTURING > 2410 Instrumentation > 241001 Industrial instruments
Identification Number or DOI: https://doi.org/10.1109/TIE.2017.2762636
URI: http://eprints.usq.edu.au/id/eprint/33198

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