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Proceedings Paper

Spatially resolved infrared spectra of F109 turbofan exhaust
Author(s): Jacob L. Harley; August J. Rolling; Charles F. Wisniewski; Kevin C. Gross
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Paper Abstract

There is a strong interest in diagnosing engine performance problems and maintenance needs using optical techniques instead of expensive, time-consuming mechanical inspection. A Telops Hyper-Cam MWIR imaging Fourier-transform spectrometer collected spectrally-resolved images of jet exhaust from an F109 turbofan engine operating at 53%, 82%, and 88% of maximum RPM. This work attempts to discern what information content about the turbulent jet flow field is revealed in the measured spectra. The spectrum is examined and simulated, a radial and axial temperature mapping of the plume is presented, and a turbulent temporal and spatial analysis method is demonstrated. Spectral simulation of a pixel centered at nozzle exit finds volume mixing fractions of 3.3% H2O and 2.8% CO2 and an exhaust temperature of 560K with the engine at 82%. A single, high frequency turbulent feature is mapped and tracked over several frames. Velocity of this feature, based on the 2.86kHz camera frame rate and 0.067cm2 per pixel spatial resolution, is approximately 176m/s and compares favorably with an estimate based on the measured mass flow rate. This effort is a proof of concept and intended to justify qualitative analysis of a more controlled and characterized turbulent source in future work.

Paper Details

Date Published: 18 May 2012
PDF: 10 pages
Proc. SPIE 8354, Thermosense: Thermal Infrared Applications XXXIV, 83540H (18 May 2012); doi: 10.1117/12.920630
Show Author Affiliations
Jacob L. Harley, Air Force Institute of Technology (United States)
August J. Rolling, U.S. Air Force Academy (United States)
Charles F. Wisniewski, U.S. Air Force Academy (United States)
Kevin C. Gross, Air Force Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8354:
Thermosense: Thermal Infrared Applications XXXIV
Douglas Burleigh; Gregory R. Stockton, Editor(s)

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