Measurement of key species in gas turbine engine exhaust plumes
Lengden, Michael and Armstrong, Ian and Bain, James and Johnstone, Walter (2012) Measurement of key species in gas turbine engine exhaust plumes. In: Institute of Physics - Delivering Future Combustion Technologies Meeting, 2012-10-23 - 2012-10-23.
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The Centre for Microsystems and Photonics has been developing optical fibre sensors for gas diagnostics in harsh environments for over fifteen years. Recently, we have used tunable diode laser spectroscopy (TDLS) to measure gas species, such as water vapour and methane, in high temperature environments, for example aero engine exhausts and solid oxide fuel cells. In order to accurately measure these species at high temperatures using TDLS it is important to accurately understand the temperature dependence of spectral parameters, such as linestrength and collisional broadening. It is also essential to develop signal processing techniques that can provide calibration-free gas concentration measurements in systems with high background noise sources, especially in aero engine diagnostics. In this work, we will present our high temperature gas spectrometer, used to fully investigate the spectral parameters of the gas species of interest and their temperature dependence. We will provide example spectral data for laser sources in both the near and mid infrared. Furthermore, we will provide some industrial examples of our work on gas diagnostics on aero engine exhaust species and solid oxide fuel cells. Finally, we will introduce a new EPSRC funded project, ‘Fibre Laser Imaging of Gas Turbine Exhaust Species’. This is a collaborative project with the Universities of Manchester and Southampton that will attempt to develop a two dimensional tomographic image of carbon dioxide concentration levels from the exhaust of an aero engine.
ORCID iDs
Lengden, Michael, Armstrong, Ian ORCID: https://orcid.org/0009-0003-1652-7990, Bain, James ORCID: https://orcid.org/0009-0004-4295-5005 and Johnstone, Walter ORCID: https://orcid.org/0000-0002-6376-9445;-
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Item type: Conference or Workshop Item(Poster) ID code: 42798 Dates: DateEvent23 October 2012PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 08 Feb 2013 16:31 Last modified: 11 Nov 2024 16:36 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/42798