Presentation + Paper
8 May 2018 Infrared signature measurements of a jet turbine using a hyperspectral imager for combustion diagnostics
Author Affiliations +
Abstract
The Air Force Institute of Technology, in collaboration with Pratt and Whitney and Test Devices Inc., made midwave infrared (IR) measurements of a well-characterized JetCat turbine engine using a hyperspectral imager. The Telops hyperspectral imager used is an infrared Fourier transform spectrometer (IFTS) that utilizes a 320 by 256 indium-antimonide (InSb) focal plane array (FPA) sensitive in the short and mid-wave portion of the IR. The imager is calibrated to give a spectral distribution of radiance for each pixel within the image. Measurements were also made using a Santa Barbara Focal Plane IR imager (InSb, 320 by 256 array) that reported integrated radiance values in the mid-wave IR. These measurements were made at varying engine RPM and different nozzle orientations to determine temperature and concentrations of the flow. The different orientations allow for the determination of the degree of asymmetry in the flow in two dimensions. Corresponding local temperature and pressure readings were taken in order to corroborate the radiometric data. The spectral information from these measurements are used to determine temperature and species concentrations of carbon dioxide and water vapor produced by the combustion of the Jet-A fuel. These data provide detailed information about turbulent eddies of the exhaust gases, and in the construction of a volumetric representation of the flow.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mason Paulec, Michael Marciniak, Kevin Gross, and David Azevedo "Infrared signature measurements of a jet turbine using a hyperspectral imager for combustion diagnostics", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106440W (8 May 2018); https://doi.org/10.1117/12.2303982
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Imaging systems

Sensors

Combustion

Temperature metrology

Calibration

Hyperspectral imaging

Gases

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