November 2022
Spotlight Summary by Wei Ren
Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines
In the aviation industry, there is an urgent need for a thorough understanding of turbine combustion to improve turbine engine efficiency and reduce combustion emissions. Tunable diode laser absorption spectroscopy is a widely used method for in situ, noninvasive, quantitative and fast detection of combustion species, temperature, and velocity. By incorporating tomographic methods, the line-of-sight absorption spectroscopy method can be extended to rapid 2D and 3D imaging of various combustion flow fields. However, the field deployment of this technique in actual aero-engines is quite rare. Recently, a consortium of university research teams and industrial partners from UK and Spain successfully reported the use of a large-scale laser-absorption tomography system to measure CO2 distributions in the exhaust plume of a Rolls-Royce modern Trent engine. The laser diagnostic system contains 126 near-infrared (~2 µm) optical beams (6 angular projections × 21 parallel beams) mounted on a 7-m diameter frame, which allows a spatial resolution of ~60 mm. By monitoring the combustion flow located 3-m downstream of the engine exit nozzle, the authors successfully demonstrate the tomographic imaging of the spatial distribution of CO2 at 1.25 fps. This work opens the door to the improved understanding of large-scale turbine combustion.
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Article Information
Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines
Abhishek Upadhyay, Michael Lengden, Godwin Enemali, George Stewart, Walter Johnstone, David Wilson, Gordon Humphries, Thomas Benoy, John Black, Andrea Chighine, Edward Fisher, Rui Zhang, Chang Liu, Nick Polydorides, Alex Tsekenis, Paul Wright, Joshua Kliment, Johan Nilsson, Yutong Feng, Victor Archilla, Javier Rodríguez-Carmona, Jesús Sánchez-Valdepeñas, Marta Beltran, Valentin Polo, Ian Armstrong, Iain Mauchline, Douglas Walsh, Mark Johnson, Joanna Bauldreay, and Hugh McCann
Appl. Opt. 61(28) 8540-8552 (2022) View: Abstract | HTML | PDF