Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Stefan P. Domino"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104702- (2024)
The response of objects engulfed in, and adjacent to, large-scale pool fires is of interest in accident and safety assessments. In this study, Fuego, a low-Mach turbulent reacting flow code was used to study conjugate heat transfer in a 7.9 m diamete
Externí odkaz:
https://doaj.org/article/c6756011165c481b89bc40528ae072ae
Autor:
Stefan P. Domino, Wyatt James Horne
Publikováno v:
Renewable Energy. 199:1060-1077
Publikováno v:
Journal of Fluids Engineering. 145
Previous efforts to model uranyl fluoride formation in an impinging jet gas reactor underpredicted spatial mixing and overpredicted chemical conversion into particulates. The previous fluid dynamics model was based on the solution of the Reynolds Ave
Publikováno v:
AIAA Journal. 60:1332-1346
Autor:
Stefan P. Domino, Everett A. Wenzel
Publikováno v:
International Journal of Heat and Mass Transfer. 211:124168
Autor:
John Bell, Jed Brown, Tim Colonius, Pascale Domingo, Stefan P. Domino, John A. Evans, Paul F. Fischer, Aditya Ghate, Fernando F. Grinstein, Kenneth E. Jansen, Sanjiva K. Lele, Krishnan Mahesh, Robert D. Moser, Filipe S. Pereira, William J. Rider, Pierre Sagaut, Ananias G. Tomboulides, Arthur E.P. Veldman, Roel W.C.P. Verstappen, Luc Vervisch
Publikováno v:
Numerical Methods in Turbulence Simulation ISBN: 9780323911443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df0ca152060d1bfe0d4779c9ef42ba27
https://doi.org/10.1016/b978-0-32-391144-3.00005-x
https://doi.org/10.1016/b978-0-32-391144-3.00005-x
Autor:
Stefan P. Domino
Publikováno v:
Numerical Methods in Turbulence Simulation ISBN: 9780323911443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd0c5767e289c9ccdeae042d0d43290
https://doi.org/10.1016/b978-0-32-391144-3.00013-9
https://doi.org/10.1016/b978-0-32-391144-3.00013-9
Publikováno v:
AIAA AVIATION 2022 Forum.
Publikováno v:
Atomization and Sprays. 31:1-23
In response to the global SARS-CoV-2 transmission pandemic, Sandia National Laboratories Rapid Lab-Directed Research and Development COVID-19 initiative has deployed a multi-physics, droplet-laden, turbulent low-Mach simulation tool to model pathogen
Publikováno v:
Journal of Heat Transfer. 144
Medium scale (30 cm diameter) methanol pool fires were simulated using the latest fire modeling suite implemented in Sierra/Fuego, a low Mach number multiphysics reacting flow code. The sensitivity of model outputs to various model parameters was stu