Abstract 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.

中文翻译：

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基于蒙特卡罗的汽油层流火焰速度相关性

摘要 汽油的层流火焰速度和自燃特性对火花点火和现代发动机的整体性能起着关键作用。由于汽油是一种包含数百种物质的复杂燃料，因此对汽油中存在的所有成分进行建模是不可行的。研究人员倾向于使用由少量成分组成的替代品，模拟汽油的目标物理和化学特性。对于 CFD 模拟和/或燃料筛选研究，替代品的详细动力学模型仍然可能过于庞大。对于燃料发动机优化工作，非常需要具有可用于准确预测实际燃料的自燃和层流火焰速度的简单方法。在这项工作中，提出了典型汽油的层流火焰速度相关性。这种相关性基于随机生成的混合物的蒙特卡罗模拟，该混合物包含 21 个汽油相关分子。使用详细的化学动力学模型在广泛的热力学条件下数值计算每个分子的层流火焰速度，并使用合适的混合规则估算每种混合物的火焰速度。所提出的相关性针对各种汽油燃料的实验测量层流火焰速度进行了验证。