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dc.contributor.authorLuca, Stefano
dc.contributor.authorAttili, Antonio
dc.contributor.authorBisetti, Fabrizio
dc.date.accessioned2020-12-30T12:30:21Z
dc.date.available2020-12-30T12:30:21Z
dc.date.issued2017-01-01
dc.identifier.urihttp://hdl.handle.net/10754/666772
dc.description.abstractA set of Direct Numerical Simulations (DNS) of turbulent jet flames is performed to investigate the effect of Reynolds number on flame characteristics. The simulations feature finite rate chemistry with 16 species and up to 22 billion grid points. The jet consists of a methane/air mixture with equivalence ratio φ = 0.7 and unburnt temperature of 800 K. The temperature and species concentrations in the coflow correspond to the equilibrium state of the burnt mixture. All the simulations are performed at 4 atm. The flame length, normalized by the jet width, decreases significantly as the Reynolds number increases. This is consistent with an increase of the turbulent flame speed due to the increased integral scale of turbulence. This behavior is typical of flames in the thin-reaction zone regime, which are affected by turbulent transport in the preheat layer. Statistics of stretch at the flame surface are investigated and the dependence of these quantities on the Reynolds number is assessed.
dc.description.sponsorshipWe acknowledge valuable support from KAUST Supercomputing Laboratory (KSL) in the form of assistance with code development and computational time on the Cray XC40 Shaheen.
dc.publisherCombustion Institute
dc.relation.urlhttps://research.kaust.edu.sa/en/publications/flame-stretch-statistics-in-premixed-jet-flames-at-high-reynolds-
dc.rightsArchived with thanks to Combustion Institute
dc.titleFlame stretch statistics in premixed jet flames at high reynolds number
dc.typeConference Paper
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.conference.date2017-12-10 to 2017-12-14
dc.conference.name11th Asia-Pacific Conference on Combustion, ASPACC 2017
dc.conference.locationSydney, NSW, AUS
dc.eprint.versionPre-print
dc.contributor.institutionRWTH Aachen University, Aachen, 52056, Germany
dc.contributor.institutionUniversity of Texas at Austin, Austin, TX, 78712, United States
dc.identifier.volume2017-December
kaust.personLuca, Stefano
dc.identifier.eid2-s2.0-85046405519
kaust.acknowledged.supportUnitCray XC40
kaust.acknowledged.supportUnitKAUST Supercomputing Laboratory (KSL)
kaust.acknowledged.supportUnitShaheen


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