Paper
6 August 2002 Development of an experimental capability to validate infrared signature predictions of installed aircraft exhaust systems
Steve Rooks, Martin L. Fair, Anthony G. Smith, Nicholas Chettle
Author Affiliations +
Abstract
As methods continue to develop for predicting infrared signatures for complex propulsion systems, the need to validate such methods and, indeed to gain confidence in new designs grows. Within Dstl, work to develop static engine test rigs has been carried out. These rigs allow aspects of infrared signature such as plume mixing, cavity emissions, surface impingement and subsequent treatment, obscuration and nozzle shaping to be studied. However, there is a growing need for data, which is more closely related to actual flight conditions. Full flight measurements are prohibitively expensive and often out of the question when a range of geometries are to be studied. Wind tunnel tests can also be difficult because of the quantity of power required for the free stream flow and the need to produce realistic hot gas. This paper describes the work that has been carried out to produce a cost effective free stream measurement capability, which makes use of existing static engine facilities. By bleeding engine compressor flows and exhaust flows, a reduced scale system has been created which allows the simulation of infrared propulsion issues at free stream Mach numbers of up to 0.5. The data obtained with this system has been used to validate the prediction methods for 3D-exhaust plume and afterbody infrared signature.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steve Rooks, Martin L. Fair, Anthony G. Smith, and Nicholas Chettle "Development of an experimental capability to validate infrared signature predictions of installed aircraft exhaust systems", Proc. SPIE 4718, Targets and Backgrounds VIII: Characterization and Representation, (6 August 2002); https://doi.org/10.1117/12.478817
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KEYWORDS
Infrared signatures

Turbulence

Sapphire

Modeling

Infrared imaging

Thermal modeling

Data modeling

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