Temperature measurements in confined swirling spray flames by vibrational coherent anti-stokes Raman spectroscopy
•CARS temperature measurements were acquired in a gas turbine model combustor.•n-Hexane and n-dodecane (along with Jet-A1) fuels were tested at Φ = 0.8.•Temperature profiles follow the flow field profiles remarking inner and outer recirculation zones:•Good agreement with Mie scattering CH∗ chemilumi...
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Published in | Experimental thermal and fluid science Vol. 95; pp. 52 - 59 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Elsevier Inc
01.07.2018
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | •CARS temperature measurements were acquired in a gas turbine model combustor.•n-Hexane and n-dodecane (along with Jet-A1) fuels were tested at Φ = 0.8.•Temperature profiles follow the flow field profiles remarking inner and outer recirculation zones:•Good agreement with Mie scattering CH∗ chemiluminescence measurements:
A gas turbine model combustor for swirling spray flames has been operated at atmospheric pressure with n-hexane, n-dodecane and kerosene Jet A-1. Temperature measurements were performed using single-shot broadband shifted vibrational coherent anti-Stokes Raman spectroscopy (SV-CARS). Series of 1200 single-shot measurements were performed at different radial and vertical locations in the flames from which the temperature distributions were deduced. In regions with high droplet load a significant number of CARS spectra were discarded due to large signal background from laser-induced breakdown effects. Results from the flames burning different fuels were compared and revealed considerable differences in the temperature profiles. The temperature measurements are part of a comprehensive research program that aims at the design of alternative fuels for aero engines and stationary gas turbines. In addition to the experimental characterization of the spray flames, the datasets are used for the validation and improvement of computational models. |
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ISSN: | 0894-1777 1879-2286 |
DOI: | 10.1016/j.expthermflusci.2018.01.029 |