Application of particle image velocimetry technique for study of reacting jet flows

Sergey V. Alekseenko; Vladimir M. Dulin; Yury S. Kozorezov; Dmitry M. Markovich; Sergey I. Shtork

doi:10.1117/12.817189

21 April 2009 Application of particle image velocimetry technique for study of reacting jet flows

Sergey V. Alekseenko, Vladimir M. Dulin, Yury S. Kozorezov, Dmitry M. Markovich, Sergey I. Shtork

Proceedings Volume 7131, XVII International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers; 71312F (2009) https://doi.org/10.1117/12.817189
Event: XVII International Symposium on Gas Flow and Chemical Lasers and High Power Lasers, 2008, Lisboa, Portugal

Abstract

Present work is devoted to experimental study of reacting jet flow in a model open flame burner. The work was inspired by the problem of extension of the range for stable and effective combustion which basically determined by the turbulent flow structure in reaction zone. To approach this target spatial distributions of the mean velocity, turbulent kinetic energy were measured and the role of organized vortical structures have been studied.The main technique used is a laser based stereo Particle Image Velocimetry (PIV) system. The measurements were performed in a central section of the jet flame. Regular swirl parameter of the flow was varied from 0 to 1.0. Reynolds number was changed between 1000 and 8000. Equivalence ratio variation band was between 0.5 and 4. Effect of the nozzle geometry was studied by using nozzles with different exit diameters.

Citation Download Citation

Sergey V. Alekseenko, Vladimir M. Dulin, Yury S. Kozorezov, Dmitry M. Markovich, and Sergey I. Shtork "Application of particle image velocimetry technique for study of reacting jet flows", Proc. SPIE 7131, XVII International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers, 71312F (21 April 2009); https://doi.org/10.1117/12.817189

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KEYWORDS

Combustion

Particle image velocimetry

Particles

Image segmentation

Nitrous oxide

Optical filters

Reconstruction algorithms

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