Antonio D'Amato
Development of an Abel Transform Algorithm for Combustion Characterization and Data Analysis.
Rel. Dario Giuseppe Pastrone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2018
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Abstract
The present study purpose is to develop an Inverse Abel Transform algorithm for combustion diagnostics. In order to develop and optimize a liquid rocket engine, the combustion process of the propellents combination GOX/CH4 and GOX/H2 are experimentally and numerically investigated at the Technical University of Munich to have a better knowledge about performance for this propellent pair. The combustion processes are studied by means an optical diagnostics technique, called Chemiluminescence, that allows to detect by means an ICCD camera the hydroxyl radicals OH* emission spontaneously producted in the chemical reactions within the combustion chamber and use it as a flame marker.
Because this optical diagnostics technique is a line-of-sight technique, in which each measured quantity is an integrated emission along each line-of-sight, emission local measurements are not directly possible but require a post-processing deconvolution of the measured intensities to obtain spatial information
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