Computing supersonic non-premixed turbulent combustion by an SMLD flamelet progress variable model.
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| Title: | Computing supersonic non-premixed turbulent combustion by an SMLD flamelet progress variable model. |
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| Authors: | Coclite, A.1,2 alessandro.coclite@poliba.it, Cutrone, L.2,3 l.cutrone@cira.it, Gurtner, M.4 gurtner@lfa.mw.tum.de, De Palma, P.1,2 pietro.depalma@poliba.it, Haidn, O.J.4 haidn@lfa.mw.tum.de, Pascazio, G.1,2 giuseppe.pascazio@poliba.it |
| Source: | International Journal of Hydrogen Energy. Jan2016, Vol. 41 Issue 1, p632-646. 15p. |
| Subjects: | Probability density function, Scramjet engines, Gas mixtures, Chemical stability, Parameter estimation |
| Abstract: | This paper presents a statistically more likely distribution (SMLD) approach for the evaluation of the presumed probability density function (PDF) in flamelet progress variable (FPV) models for non-premixed supersonic combustion. The numerical simulation of the NASA Langley Research Center supersonic H 2 –Air combustion chamber is performed using two approaches: the first one is a standard FPV model, built presuming the functional shape of the PDFs of the mixture fraction, Z , and of the progress parameter, Λ ; the second approach employs the SMLD technique to presume the joint PDF of Z and Λ . The standard and FPV-SMLD models have been developed using the low Mach number assumption. In both cases, the temperature is evaluated by solving the total-energy conservation equation, providing a more suitable approach for the simulation of supersonic combustion. By comparison with experimental data, the proposed SMLD model is shown to provide a clear improvement with respect to the standard FPV model, especially in the auto-ignition and stabilization regions of the flame. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Hydrogen Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 112177493 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computing supersonic non-premixed turbulent combustion by an SMLD flamelet progress variable model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Coclite%2C+A%2E%22">Coclite, A.</searchLink><relatesTo>1,2</relatesTo><i> alessandro.coclite@poliba.it</i><br /><searchLink fieldCode="AR" term="%22Cutrone%2C+L%2E%22">Cutrone, L.</searchLink><relatesTo>2,3</relatesTo><i> l.cutrone@cira.it</i><br /><searchLink fieldCode="AR" term="%22Gurtner%2C+M%2E%22">Gurtner, M.</searchLink><relatesTo>4</relatesTo><i> gurtner@lfa.mw.tum.de</i><br /><searchLink fieldCode="AR" term="%22De+Palma%2C+P%2E%22">De Palma, P.</searchLink><relatesTo>1,2</relatesTo><i> pietro.depalma@poliba.it</i><br /><searchLink fieldCode="AR" term="%22Haidn%2C+O%2EJ%2E%22">Haidn, O.J.</searchLink><relatesTo>4</relatesTo><i> haidn@lfa.mw.tum.de</i><br /><searchLink fieldCode="AR" term="%22Pascazio%2C+G%2E%22">Pascazio, G.</searchLink><relatesTo>1,2</relatesTo><i> giuseppe.pascazio@poliba.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Hydrogen+Energy%22">International Journal of Hydrogen Energy</searchLink>. Jan2016, Vol. 41 Issue 1, p632-646. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Probability+density+function%22">Probability density function</searchLink><br /><searchLink fieldCode="DE" term="%22Scramjet+engines%22">Scramjet engines</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+mixtures%22">Gas mixtures</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+stability%22">Chemical stability</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a statistically more likely distribution (SMLD) approach for the evaluation of the presumed probability density function (PDF) in flamelet progress variable (FPV) models for non-premixed supersonic combustion. The numerical simulation of the NASA Langley Research Center supersonic H 2 –Air combustion chamber is performed using two approaches: the first one is a standard FPV model, built presuming the functional shape of the PDFs of the mixture fraction, Z , and of the progress parameter, Λ ; the second approach employs the SMLD technique to presume the joint PDF of Z and Λ . The standard and FPV-SMLD models have been developed using the low Mach number assumption. In both cases, the temperature is evaluated by solving the total-energy conservation equation, providing a more suitable approach for the simulation of supersonic combustion. By comparison with experimental data, the proposed SMLD model is shown to provide a clear improvement with respect to the standard FPV model, especially in the auto-ignition and stabilization regions of the flame. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Hydrogen Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ijhydene.2015.10.086 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 632 Subjects: – SubjectFull: Probability density function Type: general – SubjectFull: Scramjet engines Type: general – SubjectFull: Gas mixtures Type: general – SubjectFull: Chemical stability Type: general – SubjectFull: Parameter estimation Type: general Titles: – TitleFull: Computing supersonic non-premixed turbulent combustion by an SMLD flamelet progress variable model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Coclite, A. – PersonEntity: Name: NameFull: Cutrone, L. – PersonEntity: Name: NameFull: Gurtner, M. – PersonEntity: Name: NameFull: De Palma, P. – PersonEntity: Name: NameFull: Haidn, O.J. – PersonEntity: Name: NameFull: Pascazio, G. IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 01 Text: Jan2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 03603199 Numbering: – Type: volume Value: 41 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Hydrogen Energy Type: main |
| ResultId | 1 |
