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Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines

Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines
Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines
We report here the first implementation of chemically specific imaging in the exhaust plume of a gas turbine typical of those used for propulsion in commercial aircraft. The method used is chemical species tomography (CST) and the target species is CO2, absorbing in the near-infrared at 1999.4 nm. A total of 126 beams propagate transverse to the plume axis, along 7 m paths in a coplanar geometry, to probe a central region of diameter approximate to 1.5 m. The CO2 absorption spectrum is measured using tunable diode laser spectroscopy with wavelength modulation, using the second harmonic to first harmonic (2f/1f) ratio method. The engine is operated over the full range of thrust, while data are recorded in a quasi-simultaneous mode at frame rates of 1.25 and 0.3125 Hz. Various data inversion methodologies are considered and presented for image reconstruction. At all thrust levels a persistent ring structure of high CO2 concentration is observed in the central region of the measurement plane, with a raised region in the middle of the plume assumed to be due to the engine's boat tail. With its potential to target various exhaust species, the CST method outlined here offers a new approach to turbine combustion research, turbine engine development, and aviation fuel research and development. Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
0003-6935
8540-8552
Upadhyay, Abhishek
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Lengden, Michael
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Enemali, Godwin
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Johnstone, Walter
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Humphries, Gordon
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Benoy, Thomas
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Black, John
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Fisher, Edward
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Zhang, Rui
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Polydorides, Nick
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Nilsson, Johan
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Feng, Yutong
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Archilla, Victor
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Rodriguez-Carmona, Javier
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Sanchez-Valdepenas, Jesus
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Beltran, Marta
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Polo, Valentin
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Armstrong, Ian
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McCann, Hugh
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et al.
Upadhyay, Abhishek
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Lengden, Michael
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Enemali, Godwin
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Johnstone, Walter
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Humphries, Gordon
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Benoy, Thomas
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Black, John
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Fisher, Edward
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Zhang, Rui
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Polydorides, Nick
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Tsekenis, Alex
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Kliment, Joshua
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Nilsson, Johan
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Feng, Yutong
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Archilla, Victor
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Rodriguez-Carmona, Javier
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Sanchez-Valdepenas, Jesus
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Beltran, Marta
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Polo, Valentin
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Armstrong, Ian
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Mauchline, Iain
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Walsh, Douglas
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Bauldreay, Joanna
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McCann, Hugh
c254339f-76b3-40b6-8479-ded99f510882

Upadhyay, Abhishek, Lengden, Michael and Enemali, Godwin , et al. (2022) Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines. Applied Optics, 61 (28), 8540-8552. (doi:10.1364/AO.467828).

Record type: Article

Abstract

We report here the first implementation of chemically specific imaging in the exhaust plume of a gas turbine typical of those used for propulsion in commercial aircraft. The method used is chemical species tomography (CST) and the target species is CO2, absorbing in the near-infrared at 1999.4 nm. A total of 126 beams propagate transverse to the plume axis, along 7 m paths in a coplanar geometry, to probe a central region of diameter approximate to 1.5 m. The CO2 absorption spectrum is measured using tunable diode laser spectroscopy with wavelength modulation, using the second harmonic to first harmonic (2f/1f) ratio method. The engine is operated over the full range of thrust, while data are recorded in a quasi-simultaneous mode at frame rates of 1.25 and 0.3125 Hz. Various data inversion methodologies are considered and presented for image reconstruction. At all thrust levels a persistent ring structure of high CO2 concentration is observed in the central region of the measurement plane, with a raised region in the middle of the plume assumed to be due to the engine's boat tail. With its potential to target various exhaust species, the CST method outlined here offers a new approach to turbine combustion research, turbine engine development, and aviation fuel research and development. Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

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Accepted/In Press date: 4 September 2022
Published date: 1 October 2022

Identifiers

Local EPrints ID: 501696
URI: http://eprints.soton.ac.uk/id/eprint/501696
ISSN: 0003-6935
PURE UUID: 849314fa-f01f-4662-b634-a97beb92f4a0
ORCID for Johan Nilsson: ORCID iD orcid.org/0000-0003-1691-7959
ORCID for Yutong Feng: ORCID iD orcid.org/0000-0002-6839-2106

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Date deposited: 06 Jun 2025 16:33
Last modified: 22 Aug 2025 01:43

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Contributors

Author: Abhishek Upadhyay
Author: Michael Lengden
Author: Godwin Enemali
Author: Walter Johnstone
Author: Gordon Humphries
Author: Thomas Benoy
Author: John Black
Author: Edward Fisher
Author: Rui Zhang
Author: Nick Polydorides
Author: Alex Tsekenis
Author: Joshua Kliment
Author: Johan Nilsson ORCID iD
Author: Yutong Feng ORCID iD
Author: Victor Archilla
Author: Javier Rodriguez-Carmona
Author: Jesus Sanchez-Valdepenas
Author: Marta Beltran
Author: Valentin Polo
Author: Ian Armstrong
Author: Iain Mauchline
Author: Douglas Walsh
Author: Joanna Bauldreay
Author: Hugh McCann
Corporate Author: et al.

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