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Experimental characterization of a pressure swirl spray by analyzing the half cone angle fluctuation

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2018 Italy Publisher:Elsevier BVJournal:Experimental Thermal and Fluid Science, volume 94, pages 122-133 (issn: 0894-1777,

Authors: Amoresano, A.; Allouis, C.; Di Santo, M.; Iodice, P.; Quaremba, G.; Niola, V.;

doi: 10.1016/j.expthermflusci.2018.02.014

handle: 11588/700304 , 20.500.14243/359453

Experimental characterization of a pressure swirl spray by analyzing the half cone angle fluctuation

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Abstract

Pressure swirl sprays are frequently used in burners for gas turbines like the LPP chamber or to generate diffusion flames. Combustion between fuel and the air is governed by complex phenomena determined by the mixing of the mass flow rate of the two phases liquid and gaseous. Characterization of the spray by measuring the half cone angle fluctuations with a speed camera and a Lagrangian approach allows the working space of the spray to be defined and the "signature" of the spray in well-defined conditions of supply pressure to be identified. The results define the pseudo-chaotic structure of the spray and highlight behavior affecting the combustion process.

Country

Italy

Related Organizations

University Federico II of Naples
Italy
National Research Council
Italy
Institute for Research on Combustion
Italy

Keywords

Fluid Flow and Transfer Processes, Mechanical Engineering, Aerospace Engineering, Chaos; Image processing; Nonlinear analysis; Pressure swirl spray; Spray; Stationary random process; Chemical Engineering (all); Nuclear Energy and Engineering; Aerospace Engineering; Mechanical Engineering; Fluid Flow and Transfer Processes, Spray, Nuclear Energy and Engineering, Image processing, Chaos, Chemical Engineering (all), Pressure swirl spray, Stationary random process, Nonlinear analysis

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%