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Transported Probability Density Function (tPDF) Modelling for Direct-Injection Internal Combustion Engines

机译:用于直喷内燃机的运输概率密度函数(TPDF)建模

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Ongoing efforts in applying a "high-end" turbulent combustion model (a transported probability density function - tPDF - method) to direct-injection internal combustion engines are discussed. New numerical algorithm and physical modelling issues arise compared to more conventional modelling approaches. These include coupling between Eulerian finite-volume methods and Lagrangian Monte Carlo particle methods, liquid fuel spray/tPDF coupling, and heat transfer. Sensitivity studies are performed and quantitative comparisons are made between model results and experimental measurements in a diesel/PCCI engine. Marked differences are found between tPDF results that account explicitly for turbulence/chemistry interactions (TCI) and results obtained using models that do not account for TCI. Computed pressure and heat release profiles agree well with experimental measurements and respond correctly to variations in engine operating conditions. Computed CO and HC emissions show large deviations from experiment in some cases; further work is required in emissions modelling. With explicit accounting for TCI, other physical submodels that have been developed and calibrated to give acceptable results without consideration of TCI need to be revisited.
机译:讨论了应用“高端”湍流燃烧模型(传送的概率密度函数 - TPDF - 方法)以直喷内燃机的持续努力。与更多传统的建模方法相比,出现了新的数值算法和物理建模问题。这些包括欧拉尼亚有限体积方法和拉格朗日蒙特卡罗颗粒方法,液体燃料喷雾/ TPDF耦合和传热。进行敏感性研究,并在柴油/ PCCI发动机中的模型结果和实验测量之间进行定量比较。在TPDF结果之间发现明确的差异,该结果明确地讨论湍流/化学相互作用(TCI)和使用不考虑TCI的模型获得的结果。计算的压力和热释放曲线与实验测量很好,并正确响应发动机操作条件的变化。在某些情况下,计算的CO和HC排放显示了实验的大偏差;排放建模需要进一步的工作。通过明确核算TCI,已经开发和校准的其他物理子模型,无需考虑TCI需要进行可接受的结果,需要重新审视。

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