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Open AccessArticle

Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model

1
Department of Engineering, University of Perugia, 06125 Perugia, Italy
2
Departamento de Energía, Universidad de Oviedo, 33203 Gijón, Spain
3
Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia
4
Clean Combustion Research Center, King Abdullah University of Science and Technology, 23955 Thuwal, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Energies 2020, 13(21), 5676; https://doi.org/10.3390/en13215676
Received: 24 September 2020 / Revised: 19 October 2020 / Accepted: 28 October 2020 / Published: 30 October 2020
In the present numerical study, implicit large eddy simulations (LES) of non-reacting multi-components mixing processes of cryogenic nitrogen and n-dodecane fuel injections under transcritical and supercritical conditions are carried out, using a modified reacting flow solver, originally available in the open source software OpenFOAM®. To this end, the Peng-Robinson (PR) cubic equation of state (EOS) is considered and the solver is modified to account for the real-fluid thermodynamics. At high pressure conditions, the variable transport properties such as dynamic viscosity and thermal conductivity are accurately computed using the Chung transport model. To deal with the multicomponent species mixing, molar averaged homogeneous classical mixing rules are used. For the velocity-pressure coupling, a PIMPLE based compressible algorithm is employed. For both cryogenic and non-cryogenic fuel injections, qualitative and quantitative analyses are performed, and the results show significant effects of the chamber pressure on the mixing processes and entrainment rates. The capability of the proposed numerical model to handle multicomponent species mixing with real-fluid thermophysical properties is demonstrated, in both supercritical and transcritical regimes. View Full-Text
Keywords: fuel injection and mixing; implicit LES; real-fluid; cryogenic nitrogen; n-dodecane; OpenFOAM®; supercritical conditions; cubic EOS; Peng-Robinson; Chung transport fuel injection and mixing; implicit LES; real-fluid; cryogenic nitrogen; n-dodecane; OpenFOAM®; supercritical conditions; cubic EOS; Peng-Robinson; Chung transport
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MDPI and ACS Style

Ningegowda, B.M.; Rahantamialisoa, F.N.Z.; Pandal, A.; Jasak, H.; Im, H.G.; Battistoni, M. Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model. Energies 2020, 13, 5676. https://doi.org/10.3390/en13215676

AMA Style

Ningegowda BM, Rahantamialisoa FNZ, Pandal A, Jasak H, Im HG, Battistoni M. Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model. Energies. 2020; 13(21):5676. https://doi.org/10.3390/en13215676

Chicago/Turabian Style

Ningegowda, Bittagowdanahalli M.; Rahantamialisoa, Faniry N.Z.; Pandal, Adrian; Jasak, Hrvoje; Im, Hong G.; Battistoni, Michele. 2020. "Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model" Energies 13, no. 21: 5676. https://doi.org/10.3390/en13215676

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