Flow visualisation in real-size optical injectors of conventional, additised, and renewable gasoline blends
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Autori:
Milad Heidari-Koochi, Ioannis K. Karathanassis, Phoevos Koukouvinis, Joonsik Hwang, Lyle M. Pickett, David Spivey, Manolis Gavaises
Pubblicato in:
Energy Conversion and Management, 2021, ISSN 0196-8904
Editore:
Pergamon Press Ltd.
DOI:
10.1016/j.enconman.2021.115109
Spatio-temporal identification of plume dynamics by 3D computed tomography using engine combustion network spray G injector and various fuels
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Autori:
Joonsik Hwang, Lukas Weiss, Ioannis K. Karathanassis, Phoevos Koukouvinis, Lyle M. Pickett, Scott A. Skeen
Pubblicato in:
Fuel, Numero 280, 2020, Pagina/e 118359, ISSN 0016-2361
Editore:
Elsevier BV
DOI:
10.1016/j.fuel.2020.118359
Machine-learning enabled prediction of 3D spray under engine combustion network spray G conditions
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Autori:
Joonsik Hwang, Philku Lee, Sungkwang Mun, Ioannis K. Karathanassis, Phoevos Koukouvinis, Lyle M. Pickett, Manolis Gavaises
Pubblicato in:
Fuel, Numero 293, 2021, Pagina/e 120444, ISSN 0016-2361
Editore:
Elsevier BV
DOI:
10.1016/j.fuel.2021.120444
X-ray phase contrast and absorption imaging for the quantification of transient cavitation in high-speed nozzle flows
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Autori:
I. K. Karathanassis, M. Heidari-Koochi, Q. Zhang, J. Hwang, P. Koukouvinis, J. Wang, M. Gavaises
Pubblicato in:
Physics of Fluids, Numero 33/3, 2021, Pagina/e 032102, ISSN 1070-6631
Editore:
American Institute of Physics
DOI:
10.1063/5.0038475
Combined visualisation of cavitation and vortical structures in a real-size optical diesel injector
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Autori:
I. K. Karathanassis, J. Hwang, P. Koukouvinis, L. Pickett, M. Gavaises
Pubblicato in:
Experiments in Fluids, Numero 62/1, 2021, ISSN 0723-4864
Editore:
Springer Verlag
DOI:
10.1007/s00348-020-03096-1
Machine Learning and transcritical sprays: A demonstration study of their potential in ECN Spray-A
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Autori:
Koukouvinis, F., Rodriguez, C., Hwang, J., Karathanassis, I.K., Gavaises, M., Pickett, L.
Pubblicato in:
International J of Engine Research, 2021, ISSN 1468-0874
Editore:
Professional Enjineering Publishing Ltd.
DOI:
10.1177/14680874211020292
