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Probability distributions for modelling in-cylinder air velocities in a G-DI internal combustion engine

机译:G-DI内燃机中缸内空气速度建模的概率分布

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Preliminary LASER Doppler Anemometry (LDA) measurements of in-cylinder air motion in a motored optical engine are described and analysed. Emphasis is placed on the results obtained from the intake and compression strokes. Air velocities were measured close to top dead centre, where the interaction of air and fuel, when injected late in the compression stroke, realises a stratified charge. In the intake stroke, turbulence level is intense and unstructured. Compression stroke velocities are characterised by a lower level of turbulence, and hence subjected to easier approximation. Normal, Poisson and Gamma distributions are applied in order to approximate to the experimental data. Two different methods of statistical analysis (least square method and maximum likelihood estimation method) are used in order to provide the best possible fit to experimental data. The normal distribution is shown to give the most accurate approximation to the air velocity distribution for both intake and compression strokes. The results of LDA measurements are used to validate the predictions of the CFD package VECTIS of Ricardo Consulting Engineers.
机译:描述和分析了电动光学发动机中缸内空气运动的初步激光多普勒风速(LDA)测量。重点放在摄入和压缩笔触中获得的结果。在靠近顶部死亡中心测量空气速度,其中空气和燃料的相互作用,当压缩冲程中注入后,实现了分层电荷。在进气冲程中,湍流水平是强烈的,非结构化。压缩冲程速度的特征在于湍流水平较低,因此经历更容易近似。应用泊松和伽马分布以近似于实验数据。使用两种不同的统计分析方法(最小二乘法和最大似然估计方法),以便提供最佳的实验数据。正常分布显示为进气和压缩冲程的空气速度分布给出最准确的近似。 LDA测量结果用于验证Ricardo咨询工程师CFD封装VECTIS的预测。

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