首页> 外文会议>SAE World Congress and Exhibition >Correlating Measured Combustion Performance with CFD Predicted In-Cylinder Flows for a Spark-Ignition Direct-Injection (SIDI) Engine with Enhanced Charge Motion
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Correlating Measured Combustion Performance with CFD Predicted In-Cylinder Flows for a Spark-Ignition Direct-Injection (SIDI) Engine with Enhanced Charge Motion

机译:通过增强的充电运动将测量的燃烧性能与CFD预测的缸内流量进行相关性燃烧性能,具有增强的充电运动

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A numerical and corresponding experimental study was undertaken to identify the ability to accurately predict combustion performance using our 3-D numerical tools for a direct-injection homogeneous-charge engine. To achieve a significant range of combustion rates, the evaluation was conducted for the engine operating with and without enhanced charge motion. Five charge motion configurations were examined, each having different levels of swirl and tumble flow leading to different turbulence generation and decay characteristics. A detailed CFD analysis provides insight into the in-cylinder flow requirements as well as the accuracy of the submodels. The in-cylinder air-fuel distribution, the mass-averaged swirl and tumble levels along with mean flow and turbulent kinetic energies are calculated throughout the induction and compression processes. These detailed flow parameters are compared to the measured combustion data and correlations between the calculated and measured results are explored. These data demonstrate that enhancing large-scale forward-tumble flows provides a significant advantage over enhancing swirl or side-tumble flows. The correlations generated also serve as a benchmark to improve our analytical capability through identifying model limitations and focus areas for further development.
机译:进行了数值和相应的实验研究,以确定使用我们的三维数值工具进行直接注射均匀电荷发动机准确地预测燃烧性能的能力。为了实现显着的燃烧速率范围,对发动机进行操作而没有增强的电荷运动进行评估。检查五种充电运动配置,每个电荷旋流和滚动流量不同,导致不同的湍流产生和衰减特性。详细的CFD分析提供了对缸内流量要求以及子模型的准确性的洞察。在整个诱导和压缩过程中,计算缸内空气燃料分布,质量平均涡流和滚筒水平以及平均流动和湍流动力学。将这些详细的流量参数与测量的燃烧数据进行比较,并且探讨了计算和测量结果之间的相关性。这些数据表明,增强大规模的前倾流提供了显着的优势,在增强旋流或侧倾流过上。通过识别模型限制和焦点领域以进行进一步发展,所生成的相关性也是提高我们的分析能力的基准。

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