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Turbulence Quantification in Supercritical Nitrogen Injection: An Analysis of Turbulence Models

2020-06-02Journal article Open access
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dc.contributor.authorMagalhães, Leandro
dc.contributor.authorCarvalho, Francisco
dc.contributor.authorSilva, André
dc.contributor.authorBarata, Jorge M M
dc.date.accessioned2022-04-04T10:56:09Z
dc.date.available2022-04-04T10:56:09Z
dc.date.issued2020-06-02
dc.description.abstractIn Liquid Rocket Engines, higher combustion efficiencies come at the cost of the propellants exceeding their critical point conditions and entering the supercritical domain. The term fluid is used because, under these conditions, there is no longer a clear distinction between a liquid and a gas phase. The non-conventional behavior of thermophysical properties makes the modeling of supercritical fluid flows a most challenging task. In the present work, a RANS computational method following an incompressible but variable density approach is devised on which the performance of several turbulence models is compared in conjunction with a high accuracy multi-parameter equation of state. Also, a suitable methodology to describe transport properties accounting for dense fluid corrections is applied. The results are validated against experimental data, becoming clear that there is no trend between turbulence model complexity and the quality of the produced results. For several instances, one- and two- equation turbulence models produce similar and better results than those of Large Eddy Simulation (LES). Finally, considerations about the applicability of the tested turbulence models in supercritical simulations are given based on the results and the structural nature of each model.pt_PT
dc.description.sponsorshipFundação para a Ciência e a Tecnologiapt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeandro Magalhães, Francisco Carvalho, André Silva, and Jorge Barata, (2020), “Turbulence Quantification in Supercritical Nitrogen Injection: An Analysis of Turbulence Models” in International Congress on Engineering — Engineering for Evolution, KnE Engineering, pages 356–367. DOI 10.18502/keg.v5i6.7052pt_PT
dc.identifier.doi10.18502/keg.v5i6.7052pt_PT
dc.identifier.issn2518-6841
dc.identifier.urihttp://hdl.handle.net/10400.6/12165
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherKnowledge Ept_PT
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.relationalterado para: “Contribution to the Physical Understanding of Supercritical Fluid Flows: a Computational Perspective”. Computational methods for jet/spray characterization: transcritical and supercritical conditions
dc.relation.publisherversionhttps://knepublishing.com/index.php/KnE-Engineering/article/view/7052pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSupercritial fluidspt_PT
dc.subjectRANS turbulence modelingpt_PT
dc.subjectLiquid rocket enginespt_PT
dc.titleTurbulence Quantification in Supercritical Nitrogen Injection: An Analysis of Turbulence Modelspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardTitlealterado para: “Contribution to the Physical Understanding of Supercritical Fluid Flows: a Computational Perspective”. Computational methods for jet/spray characterization: transcritical and supercritical conditions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEMS%2F50022%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F136381%2F2018/PT
oaire.citation.conferencePlaceCovilhã, Portugalpt_PT
oaire.citation.endPage367pt_PT
oaire.citation.startPage356pt_PT
oaire.citation.titleKnE Engineering / International Congress on Engineering — Engineering for Evolutionpt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMagalhães
person.familyNameCarvalho
person.familyNameResende Rodrigues da Silva
person.familyNameMartins Barata
person.givenNameLeandro
person.givenNameFrancisco
person.givenNameAndré
person.givenNameJorge Manuel
person.identifier2611303
person.identifierJ-4185-2012
person.identifierhFY_5JYAAAAJ&hl
person.identifier.ciencia-id571C-5641-9D78
person.identifier.ciencia-id8219-4B2B-E1C7
person.identifier.ciencia-idF611-BBCC-DAA8
person.identifier.orcid0000-0002-1256-9689
person.identifier.orcid0000-0002-3069-8345
person.identifier.orcid0000-0002-4901-7140
person.identifier.orcid0000-0001-9014-5008
person.identifier.scopus-author-id11440407500
person.identifier.scopus-author-id11439470600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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