Lindermeir, Erwin and Beier, Kurt (2012) HITEMP derived spectral database for the prediction of jet engine exhaust infrared emission using a statistical band model. Journal of Quantitative Spectroscopy and Radiative Transfer, 113, pp. 1575-1593. Elsevier. DOI: 10.1016/j.jqsrt.2012.04.002. ISSN 0022-4073.
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Official URL: http://dx.doi.org/10.1016/j.jqsrt.2012.04.002
The spectroscopic database HITEMP 2010 is used to upgrade the parameters of the statistical molecular band model which is part of the infrared signature prediction code NIRATAM (NATO InfraRed Air TArget Model). This band model was recommended by NASA and is applied in several codes that determine the infrared emission of combustion gases. The upgrade regards spectral absorption coefficients and line densities of the gases H2O, CO2, and CO in the spectral region 400–5000 cm^-1 (2-25 um) with a spectral resolution of 5 cm^-1. The temperature range 100–3000 K is covered. Two methods to update the database are presented: the usually applied method as provided in the literature and an alternative, more laborious procedure that employs least squares fitting. The achieved improvements resulting from both methods are demonstrated by comparisons of radiance spectra obtained from the band model to line-by-line results. The performance in a realistic scenario is investigated on the basis of measured and predicted spectra of a jet aircraft plume in afterburner mode.
|Title:||HITEMP derived spectral database for the prediction of jet engine exhaust infrared emission using a statistical band model|
|Journal or Publication Title:||Journal of Quantitative Spectroscopy and Radiative Transfer|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 1575-1593|
|Keywords:||Infrared modeling Infrared signature Spectroscopic database High temperature spectroscopy Statistical band model Jet engine IR emission|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||Aircraft Research|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L AR - Aircraft Research|
|DLR - Research theme (Project):||L - Military Technologies|
|Institutes and Institutions:||Remote Sensing Technology Institute > Experimental Methods|
|Deposited By:||Dr.-Ing. Erwin Lindermeir|
|Deposited On:||15 May 2012 07:53|
|Last Modified:||26 Mar 2013 13:38|
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