Spatio-temporal identification of plume dynamics by 3D computed tomography using engine combustion network spray G injector and various fuels
Hwang J, Weiß L, Karathanassis IK, Koukouvinis P, Pickett LM, Skeen SA (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 280
Article Number: 118359
DOI: 10.1016/j.fuel.2020.118359
Abstract
Understanding of plume direction and mixture quality in a combustion chamber is crucial to improve engine performance. While a variety of diagnostics using laser and x-ray facilities have been applied to identify plume direction, most applications require sophisticated experimental setup as well as troubleshooting for light attenuation or scattering issues. In this study, we acquire temporally and spatially resolved liquid volume fraction by three-dimensional tomographic reconstruction of ensemble-averaged extinction images to produce unique information on plume movement and growth in the midst of a multi-plume spray. Measurements were carried out in a constant-flow spray vessel coupled with high-speed Mie-scattering, diffused back-illumination extinction, and schlieren imaging. Four different fuels, a single component iso-octane, a multi-component surrogate with di-isobutylene, a multi-component fuel with olefinic molecular structure, and a 70% standardized gasoline 30% ethanol (e30) blend were injected using Engine Combustion Network (ECN) Spray G injector under ECN G2 (50 kPa absolute), G3 (100 kPa absolute), and G3HT (G3 with 393 K ambient temperature) conditions. Planar slices, available from the tomographically reconstructed extinction data, confirmed greater plume-to-plume interaction for the flash-boiling G2 iso-octane condition with an approximately 6° smaller plume direction angle relative to the injector axis, compared to the nozzle drill angle. The olefinic and e30 fuels, which have broader distillation curves, exhibited stronger plume growth and eventual complete spray plume collapse and longer time for evaporation. Using the 3D dataset, we show that factors that increase plume growth also create more interaction between plumes to ultimately reduce the plume direction angle.
Authors with CRIS profile
Involved external institutions
Sandia National Laboratories
United States (USA) (US)
City, University of London
United Kingdom (GB)
United States (USA) (US)
City, University of London
United Kingdom (GB)
How to cite
APA:
Hwang, J., Weiß, L., Karathanassis, I.K., Koukouvinis, P., Pickett, L.M., & Skeen, S.A. (2020). Spatio-temporal identification of plume dynamics by 3D computed tomography using engine combustion network spray G injector and various fuels. Fuel, 280. https://doi.org/10.1016/j.fuel.2020.118359
MLA:
Hwang, Joonsik, et al. "Spatio-temporal identification of plume dynamics by 3D computed tomography using engine combustion network spray G injector and various fuels." Fuel 280 (2020).
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