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Proceedings Paper

Measurement and infrared image prediction of a heated exhaust flow
Author(s): Edward Lamar Nelson; J. Robert Mahan; Jeffrey A. Turk; Larry D. Birckelbaw; Douglas A. Wardwell; Craig E. Hange
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Paper Abstract

The focus of the current research is to numerically predict an infrared image of a jet engine exhaust plume, given field variables such as temperature, pressure, and exhaust plume constituents as a function of spatial position within the plume, and to compare this predicted image directly with measured data. This work is motivated by the need to validate CFD codes through infrared imaging. The technique of reducing the 3D field-variable domain to a 2D infrared image invokes the use of an inverse Monte-Carlo ray trace algorithm and an infrared band model for exhaust gases. This paper describes an experiment in which the above- mentioned field variables were carefully measured. Data from this experiment in the form of velocity plots are shown. The inverse Monte-Carlo ray trace technique is described. Finally, an experimentally obtained infrared image is directly compared to an infrared image predicted from the measured field variables.

Paper Details

Date Published: 15 June 1994
PDF: 9 pages
Proc. SPIE 2223, Characterization and Propagation of Sources and Backgrounds, (15 June 1994); doi: 10.1117/12.177940
Show Author Affiliations
Edward Lamar Nelson, Virginia Polytechnic Institute and State Univ. (United States)
J. Robert Mahan, Virginia Polytechnic Institute and State Univ. (United States)
Jeffrey A. Turk, Virginia Polytechnic Institute and State Univ. (United States)
Larry D. Birckelbaw, NASA Ames Research Ctr. (United States)
Douglas A. Wardwell, NASA Ames Research Ctr. (United States)
Craig E. Hange, NASA Ames Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2223:
Characterization and Propagation of Sources and Backgrounds
Wendell R. Watkins; Dieter Clement, Editor(s)

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