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Proceedings Paper

Jet engine noise and infrared plume correlation field campaign
Author(s): Phillip M. Cunio; Reed A. Weber; Kimberly R. Knobel; Christine Smith; Andy Draudt
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Paper Abstract

Jet engine noise can be a health hazard and environmental pollutant, particularly affecting personnel working in close proximity to jet engines, such as airline mechanics. Mitigating noise could reduce the potential for hearing loss in runway workers; however, there exists a very complex relationship between jet engine design parameters, operating conditions, and resultant noise power levels, and understanding and characterizing this relationship is a key step in mitigating jet engine noise effects. We demonstrate initial results highlighting the utility of high-speed imaging (hypertemporal imaging) in correlating the infrared signatures of jet engines with acoustic noise. This paper builds on prior theoretical analysis of jet engine infrared signatures and their potential relationships to jet engine acoustic emissions. This previous work identified the region of the jet plume most likely to emit both in infrared and in acoustic domains, and it prompted the investigation of wave packets as a physical construct tying together acoustic and infrared energy emissions. As a means of verifying these assertions, a field campaign to collect relevant data was proposed, and data collection was carried out with a bank of infrared instruments imaging a T700 turboshaft engine undergoing routine operational testing. The detection of hypertemporal signatures in association with acoustic signatures of jet engines enables the use of a new domain in characterizing jet engine noise. This may in turn enable new methods of predicting or mitigating jet engine noise, which could lead to socioeconomic benefits for airlines and other operators of large numbers of jet engines.

Paper Details

Date Published: 1 September 2015
PDF: 22 pages
Proc. SPIE 9608, Infrared Remote Sensing and Instrumentation XXIII, 96080H (1 September 2015); doi: 10.1117/12.2190278
Show Author Affiliations
Phillip M. Cunio, Air Force Research Lab. (United States)
Reed A. Weber, Air Force Research Lab. (United States)
Kimberly R. Knobel, Air Force Research Lab. (United States)
Christine Smith, Air Force Research Lab. (United States)
Andy Draudt, Aerodyne Research, Inc. (United States)


Published in SPIE Proceedings Vol. 9608:
Infrared Remote Sensing and Instrumentation XXIII
Marija Strojnik Scholl; Gonzalo Páez, Editor(s)

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