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CFD Modeling Of Spray Evolution For Spark-Ignition, Direct Injection Engines

机译:火花点火喷雾演化的CFD建模,直喷发动机

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Continuously more stringent regulations on pollutant emissions for gasoline internal combustion engines require a deep understanding of the effects that direct fuel injection exerts on the combustion process. Computational fluid dynamics simulations nowadays represent a powerful instrument to investigate these phenomena, nevertheless it is still fundamental to pursue their optimization by means of results validation against experimental data. Within this context, a validation of a comprehensive set of numerical spray sub-models for gasoline direct injection simulations is proposed in this work. The baseline condition of the Engine Combustion Network (ECN) Spray G injector was simulated in vessel by means of a Lagrangian-Eulerian RANS approach and achieved results were compared with reference experimental data available from literature and from the latest ECN Workshops. Particular focus was put on the prediction of mandatory quantities for gasoline sprays such as axial liquid and vapor penetrations, air entrainment, air-fuel mixing and spray morphology. Results show that a satisfactory agreement with experimental quantities was achieved, with the proposed methodology which is capable to predict the main aspects of a typical gasoline direct injection process.
机译:对汽油内燃机污染物排放的不断更严格的规定需要深入了解直接燃料喷射对燃烧过程产生的影响。现在计算流体动力学模拟代表了调查这些现象的强大仪器,尽管如此,通过对实验数据的结果验证来追求它们的优化仍然是基础。在这方面,在这项工作中提出了一种验证汽油直接喷射模拟的综合数值喷射子模型。通过Lagrangian-Eulerian RAN方法模拟发动机燃烧网络(ECN)喷射G喷射器的基线状况,并将结果与​​从文献中提供的参考实验数据和最新的ECN研讨会进行了比较。对汽油喷雾等强制性量进行了特别的重点,例如轴向液体和蒸汽渗透,空气夹带,空气燃料混合和喷雾形态。结果表明,实现了与实验量的令人满意的协议,具有拟议的方法,该方法能够预测典型的汽油直接喷射过程的主要方面。

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