Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.6/4750
Título: Modelling of transcritical and supercritical nitrogen jets
Autor: Antunes, Eduardo
Silva, André Resende Rodrigues da
Barata, Jorge Manuel Martins
Palavras-chave: Fuel injection
Jets
Critical point
Supercritical flows
Cryogenics
Data: Jun-2017
Editora: PTNSS
Citação: ANTUNES, E., SILVA, A., BARATA, J. Modeling of transcritical and supercritical nitrogen jets. Combustion Engines. 2017, 169(2), 125-132. DOI: 10.19206/CE-2017-222
Relatório da Série N.º: ;CE-2017-222
Resumo: The present paper addresses the modelling of fuel injection at conditions of high pressure and temperature which occur in a variety of internal combustion engines such as liquid fuel rocket engines, gas turbines, and modern diesel engines. For this investigation a cryogenic nitrogen jet ranging from transcritical to supercritical conditions injected into a chamber at supercritical conditions was modelled. Previously a variable density approach, originally conceived for gaseous turbulent isothermal jets, imploying the Favre averaged Navier-Stokes equations together with a “k-ε” turbulence model, and using Amagats law for the determination of density was applied. This approach allows a good agreement with experiments mainly at supercritical injection conditions. However, some departure from experimental data was found at transcritical injection conditions. The present approach adds real fluid thermodynamics to the previous approach, and the effects of heat transfer. The results still show some disagreement at supercritical conditions mainly in the determination of the potential core length but significantly improve the prediction of the jet spreading angle at transcritical injection conditions.
Peer review: yes
URI: http://hdl.handle.net/10400.6/4750
DOI: 10.19206/CE-2017-222
Versão do Editor: http://www.combustion-engines.eu/en/numbers/54/772
Aparece nas colecções:ICI - AeroG-LAETA | Documentos por Auto-Depósito
FE - DCA | Documentos por Auto-Depósito

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