LAPSE:2023.27306
Published Article

LAPSE:2023.27306
Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model
April 4, 2023
Abstract
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.
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.
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Keywords
Chung transport, cryogenic nitrogen, cubic EOS, fuel injection and mixing, implicit LES, n-dodecane, OpenFOAM®, Peng-Robinson, real-fluid, supercritical conditions
Subject
Suggested Citation
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. (2023). LAPSE:2023.27306
Author Affiliations
Ningegowda BM: Department of Engineering, University of Perugia, 06125 Perugia, Italy
Rahantamialisoa FNZ: Department of Engineering, University of Perugia, 06125 Perugia, Italy
Pandal A: Departamento de Energía, Universidad de Oviedo, 33203 Gijón, Spain [ORCID]
Jasak H: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia
Im HG: Clean Combustion Research Center, King Abdullah University of Science and Technology, 23955 Thuwal, Saudi Arabia
Battistoni M: Department of Engineering, University of Perugia, 06125 Perugia, Italy [ORCID]
Rahantamialisoa FNZ: Department of Engineering, University of Perugia, 06125 Perugia, Italy
Pandal A: Departamento de Energía, Universidad de Oviedo, 33203 Gijón, Spain [ORCID]
Jasak H: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia
Im HG: Clean Combustion Research Center, King Abdullah University of Science and Technology, 23955 Thuwal, Saudi Arabia
Battistoni M: Department of Engineering, University of Perugia, 06125 Perugia, Italy [ORCID]
Journal Name
Energies
Volume
13
Issue
21
Article Number
E5676
Year
2020
Publication Date
2020-10-30
ISSN
1996-1073
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PII: en13215676, Publication Type: Journal Article
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LAPSE:2023.27306
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https://doi.org/10.3390/en13215676
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