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dc.contributor.advisorFarooq, Aamir
dc.contributor.authorHarbi, Ahmed A.
dc.date.accessioned2019-09-09T13:28:53Z
dc.date.available2019-09-09T13:28:53Z
dc.date.issued2019-08
dc.identifier.doi10.25781/KAUST-H4K62
dc.identifier.urihttp://hdl.handle.net/10754/656699
dc.description.abstractGasoline is a complex fuel containing hundreds of species, and, therefore, it is quite difficult to model all components present in gasoline. Alternatively, researchers tend to employ simpler surrogates that mimic targeted physical and chemical properties of gasoline. Two properties of gasoline, i.e., autoignition and laminar flame speed, play key role in the overall performance of spark-ignition and modern engines. For fuel-engine optimization, it is very important to have simple models which can accurately predict autoignition and laminar flame speed of gasoline. In this work, universal laminar flame speed correlation is proposed for typical gasolines. This correlation is based on Monte-Carlo simulations of randomly generated mixtures comprising of 21 gasoline-relevant molecules. Laminar flame speed of each molecule is numerically computed over a wide range of thermodynamic conditions using detailed chemical kinetic models, while flame speed of each mixture is estimated using a mixing rule. The proposed universal correlation is validated against experimentally-measured laminar flame speed of various gasoline fuels.
dc.language.isoen
dc.subjectLaminar Flame Speed
dc.subjectCorrelation
dc.subjectGasoline
dc.titleMonte-Carlo Based Laminar Flame Speed Correlation for Gasoline
dc.typeThesis
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberRoberts, William Lafayette
dc.contributor.committeememberOmbao,Hernando
thesis.degree.disciplineMechanical Engineering
thesis.degree.nameMaster of Science
kaust.request.doiyes


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