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Flame speed correlation revised manuscript v31 unmarked.pdf
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Accepted manuscript
Embargo End Date:
2022-08-14
Type
ArticleAuthors
Harbi, Ahmed A.
Farooq, Aamir

KAUST Department
Chemical Kinetics & Laser Sensors LaboratoryClean Combustion Research Center
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
Date
2020-09-04Online Publication Date
2020-09-04Print Publication Date
2020-12Embargo End Date
2022-08-14Submitted Date
2020-05-06Permanent link to this record
http://hdl.handle.net/10754/665099
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Show full item recordAbstract
Laminar flame speed and autoignition properties of gasoline play key role in the overall performance of spark-ignition and modern engines. Since gasoline is a complex fuel containing hundreds of species, it is not feasible to model all components present in gasoline. Researchers tend to employ surrogates, comprising of few components, that mimic targeted physical and chemical properties of gasoline. Detailed kinetic models of the surrogates can still be prohibitively large for CFD simulations and/or fuel-screening studies. For fuel-engine optimization efforts, it is highly desirable to have simple methods which can be used to accurately predict autoignition and laminar flame speed of real fuels. In this work, a 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, and flame speed of each mixture is estimated with a suitable mixing rule. The proposed correlation is validated against experimentally-measured laminar flame speeds of various gasoline fuels.Citation
Harbi, A., & Farooq, A. (2020). Monte-Carlo based laminar flame speed correlation for gasoline. Combustion and Flame, 222, 61–69. doi:10.1016/j.combustflame.2020.08.023Sponsors
Research reported in this work was funded by the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST).Publisher
Elsevier BVJournal
Combustion and FlameAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0010218020303461ae974a485f413a2113503eed53cd6c53
10.1016/j.combustflame.2020.08.023