Vogiatzaki, K (Reprint Author), City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England.
Vogiatzaki, K., City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England.
Navarro-Martinez, S., Univ London Imperial Coll Sci Technol & Med, Dept Mech Engn, London SW7 2AZ, England.
De, S.; Kronenburg, A., Univ Stuttgart, Inst Tech Verbrennung, D-70569 Stuttgart, Germany.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 vogiatzaki2015mixing
%A Vogiatzaki, K.
%A Navarro-Martinez, S.
%A De, Santanu
%A Kronenburg, Andreas
%D 2015
%I Springer
%J Flow turbulence and combustion
%K
%N 2/3
%P 501-517
%R 10.1007/s10494-015-9626-0
%T Mixing Modelling Framework Based on Multiple Mapping Conditioning for the Prediction of Turbulent Flame Extinction
%V 95
@article{vogiatzaki2015mixing,
added-at = {2023-08-31T16:25:35.000+0200},
affiliation = {Vogiatzaki, K (Reprint Author), City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England.
Vogiatzaki, K., City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England.
Navarro-Martinez, S., Univ London Imperial Coll Sci Technol & Med, Dept Mech Engn, London SW7 2AZ, England.
De, S.; Kronenburg, A., Univ Stuttgart, Inst Tech Verbrennung, D-70569 Stuttgart, Germany.},
author = {Vogiatzaki, K. and Navarro-Martinez, S. and De, Santanu and Kronenburg, Andreas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2cd0df2a7810b6579ee881d7308ba864a/puma-wartung},
doi = {10.1007/s10494-015-9626-0},
interhash = {826ae480712114aadb052f7e3fb8c580},
intrahash = {cd0df2a7810b6579ee881d7308ba864a},
issn = {{1573-1987} and {1386-6184}},
journal = {Flow turbulence and combustion},
keywords = {},
language = {eng},
number = {2/3},
pages = {501-517},
publisher = {Springer},
research-areas = {Thermodynamics; Mechanics},
timestamp = {2023-08-31T14:25:35.000+0200},
title = {Mixing Modelling Framework Based on Multiple Mapping Conditioning for the Prediction of Turbulent Flame Extinction},
unique-id = {ISI:000362364500016},
volume = 95,
year = 2015
}