Transient fuel spray impingement at atmospheric and elevated ambient conditions
Autor: | Philip John Bowen, S. M. Sapsford, Martin R. Gold, Peter John Kay |
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Rok vydání: | 2012 |
Předmět: |
Fluid Flow and Transfer Processes
Materials science Meteorology Flow (psychology) Computational Mechanics General Physics and Astronomy Mechanics Shadowgraphy Phase doppler law.invention Piston Volume (thermodynamics) Mechanics of Materials law Tube (fluid conveyance) Transient (oscillation) Fuel spray |
Zdroj: | Experiments in Fluids. 53:873-890 |
ISSN: | 1432-1114 0723-4864 |
Popis: | This study analyses detailed temporally resolved full flow field data for pre- and post-impingement fuel sprays under atmospheric and elevated ambient conditions. A comprehensive suite of diagnostic techniques is utilised comprising of phase-resolved Phase Doppler Interferometry—employing a very fine grid and velocity signature to differentiate between pre- and post-impingement droplets—high-speed imaging (utilising Mie-scattering), high-magnification shadowgraphy and an adapted instantaneous mass-rate tube. Raised ambient conditions are achieved in a high-temperature, high-pressure constant volume rig affording large optical access. Temporal data for the free and impinging sprays is compared and analysed within three phases—early, mid and late injection—defined by the mass-rate tube data. All experimental techniques employed present consistent temporal and spatial trends at atmospheric and elevated ambient conditions, and global trends are consistent with the phenomenological flow structure originally proposed by Ozdemir and Whitelaw. Detailed analysis close to the piston surface reveals approximately a threefold increase in the D50 mean spray diameter for the post-impingement droplet size distribution at the wall spray tip. It is suggested that this is due to droplet coalescence, with some supporting evidence from high-speed imaging. Comparison of transient mass deposited on the surface with model predictions show reasonable agreement with the ‘Wet’ model assumption. |
Databáze: | OpenAIRE |
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