Performance of a azimuthally excited 3D-printed resonator for multi-pass spectroscopic applications

Gordon S. Humphries; Ralf Bauer; Michael Lengden

Performance of a azimuthally excited 3D-printed resonator for multi-pass spectroscopic applications

Gordon S. Humphries, Ralf Bauer, Michael Lengden

Research output: Contribution to conference › Paper › peer-review

71 Downloads (Pure)

Abstract

A design is presented for an acoustically resonant cell, based on the excitation of azimuthal resonances, to enhance the sensitivity of multi-pass photoacoustic spectroscopy. The acoustic cell is fabricated in one part using a photo-polymerization based 3D-Printing technique. Characterization of the cell performance is undertaken using calibrated concentrations of methane. The quality factor (< 76) of the cell compares favorably to existing designs based on longitudinal resonances. The minimum detectable normalized noise equivalent absorption coefficient for the cell was measured as: 3.667×10^ -10 Wcm^-1 Hz^-1/2, resulting in a minimum sensitivity for methane of 6 ppm with 700 s of averaging.

Original language	English
Number of pages	3
Publication status	Published - 30 Oct 2017
Event	IEEE SENSORS 2017 - Scottish Exhibition and Conference Centre, Glasgow, United Kingdom Duration: 29 Oct 2017 → 1 Nov 2017 http://www.ieee-sensors2017.org

Conference

Conference	IEEE SENSORS 2017
Country	United Kingdom
City	Glasgow
Period	29/10/17 → 1/11/17
Internet address	http://www.ieee-sensors2017.org

Keywords

photoacoustic sensors
3D printed photoacoustic trace gas sensor
3D Printing
photoacoustic spectroscopy (PAS)
laser absorption
TDLS

Access to Document

Humphries-etal-IEEE-Sensors-2017-Performance-of-a-azimuthally-excited-3D-printed-resonatorAccepted author manuscript, 534 KB

http://ieee-sensors2017.org/

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1 Finished

Development of a Micro-electromechanical Photoacoustic Spectrometer for Industrial Applications and the Study of SO2 at High Temperatures
Lengden, M.
EPSRC (Engineering and Physical Sciences Research Council)
1/07/13 → 31/12/15
Project: Research

1 Conference contribution book

All-optical fiber multi-point photoacoustic spectroscopic gas sensing system
Zhang, C., Yang, Y., Lin, Y., Tan, Y., Lengden, M., Humphries, G., Johnstone, W., Lut Ho, H. & Jin, W., 28 Sep 2018, Proceedings 26th International Conference on Optical Fiber Sensors. Washington, DC: Optical Society of America, 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
14 Downloads (Pure)

2016 EPSRC Doctoral Prize
Gordon Samuel Humphries (Recipient), May 2016
Prize: Fellowship awarded competitively

Cite this

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title = "Performance of a azimuthally excited 3D-printed resonator for multi-pass spectroscopic applications",

abstract = "A design is presented for an acoustically resonant cell, based on the excitation of azimuthal resonances, to enhance the sensitivity of multi-pass photoacoustic spectroscopy. The acoustic cell is fabricated in one part using a photo-polymerization based 3D-Printing technique. Characterization of the cell performance is undertaken using calibrated concentrations of methane. The quality factor (< 76) of the cell compares favorably to existing designs based on longitudinal resonances. The minimum detectable normalized noise equivalent absorption coefficient for the cell was measured as: 3.667×10^ -10 Wcm^-1 Hz^-1/2, resulting in a minimum sensitivity for methane of 6 ppm with 700 s of averaging.",

keywords = "photoacoustic sensors, 3D printed photoacoustic trace gas sensor, 3D Printing, photoacoustic spectroscopy (PAS) , laser absorption, TDLS",

author = "Humphries, {Gordon S.} and Ralf Bauer and Michael Lengden",

year = "2017",

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day = "30",

language = "English",

note = "IEEE SENSORS 2017 ; Conference date: 29-10-2017 Through 01-11-2017",

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TY - CONF

T1 - Performance of a azimuthally excited 3D-printed resonator for multi-pass spectroscopic applications

AU - Humphries, Gordon S.

AU - Bauer, Ralf

AU - Lengden, Michael

PY - 2017/10/30

Y1 - 2017/10/30

N2 - A design is presented for an acoustically resonant cell, based on the excitation of azimuthal resonances, to enhance the sensitivity of multi-pass photoacoustic spectroscopy. The acoustic cell is fabricated in one part using a photo-polymerization based 3D-Printing technique. Characterization of the cell performance is undertaken using calibrated concentrations of methane. The quality factor (< 76) of the cell compares favorably to existing designs based on longitudinal resonances. The minimum detectable normalized noise equivalent absorption coefficient for the cell was measured as: 3.667×10^ -10 Wcm^-1 Hz^-1/2, resulting in a minimum sensitivity for methane of 6 ppm with 700 s of averaging.

AB - A design is presented for an acoustically resonant cell, based on the excitation of azimuthal resonances, to enhance the sensitivity of multi-pass photoacoustic spectroscopy. The acoustic cell is fabricated in one part using a photo-polymerization based 3D-Printing technique. Characterization of the cell performance is undertaken using calibrated concentrations of methane. The quality factor (< 76) of the cell compares favorably to existing designs based on longitudinal resonances. The minimum detectable normalized noise equivalent absorption coefficient for the cell was measured as: 3.667×10^ -10 Wcm^-1 Hz^-1/2, resulting in a minimum sensitivity for methane of 6 ppm with 700 s of averaging.

KW - photoacoustic sensors

KW - 3D printed photoacoustic trace gas sensor

KW - 3D Printing

KW - photoacoustic spectroscopy (PAS)

KW - laser absorption

KW - TDLS

UR - http://ieee-sensors2017.org/

M3 - Paper

T2 - IEEE SENSORS 2017

Y2 - 29 October 2017 through 1 November 2017

ER -

Performance of a azimuthally excited 3D-printed resonator for multi-pass spectroscopic applications

Abstract

Conference

Keywords

Access to Document

Development of a Micro-electromechanical Photoacoustic Spectrometer for Industrial Applications and the Study of SO2 at High Temperatures

All-optical fiber multi-point photoacoustic spectroscopic gas sensing system

2016 EPSRC Doctoral Prize

Cite this