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An in-depth comparison of experimental and computational turbulence parameters for in-cylinder engine flows.

机译:缸内发动机流的实验和计算湍流参数的深入比较。

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摘要

The in-cylinder fluid motion of an internal combustion engine is a complex, turbulent flow that has a significant impact on the resulting air/fuel mixing, combustion efficiency, and pollutant formation. Therefore, it is necessary to comprehend the physics governing turbulence generation during the engine cycle in order to make future improvements to current engine designs and CFD models. An optical engine operating at 2000 rpm is used in this work to characterize the turbulence levels for high and low swirl flows at various locations. An in-depth comparison of turbulence parameters from PIV measurements and predictions by KIVA-3V using the RNG and standard k-epsilon models is presented.; Vanzieleghem (2004) observed that the RNG k-epsilon and standard k-epsilon turbulence models in KIVA-3V predicted different trends and levels of turbulent kinetic energy during the engine cycle. Three different experiments are performed in this work to assess these predictions. Various turbulence parameters are discussed and compared for each case. The issue of cycle-to-cycle variability is addressed by comparing the Reynolds decomposition, Gaussian filter, and proper orthogonal decomposition (POD) results.; First, PIV experiments are presented to analyze the flow in the swirl plane of the compression stroke for three crank angles. The experimental high swirl results at every location show agreement with both the RNG and standard k-epsilon model. A Gaussian filter of 16mm compares well with the POD cutoff point. Second, high-resolution PIV data is presented for the same plane. In agreement with Kolmogorov theory, the data shows a "roll-off" from the inviscid inertial region to the dissipative region of turbulence. This is important information for future subgrid model developments (e.g. LES). Third, the influence of fuel injection on turbulence in the surrounding air is addressed along the central vertical plane in the cylinder to validate the turbulence and spray sub-models. The turbulence models and experimental data show no significant increase in turbulence levels of the surrounding air with fuel injection. Qualitative agreement of the predictions from the turbulence models with experimental high swirl results are found, while the low swirl flow results are completely dissimilar.
机译:内燃发动机的缸内流体运动是复杂的湍流,对产生的空气/燃料混合,燃烧效率和污染物形成有重大影响。因此,有必要理解在发动机循环期间控制湍流产生的物理学,以便将来对当前的发动机设计和CFD模型进行改进。在这项工作中使用的光学引擎以2000 rpm的速度运行,以表征各种位置的高涡流和低涡流的湍流水平。给出了通过KIVA-3V使用RNG和标准k-ε模型对PIV测量和预测得到的湍流参数的深入比较。 Vanzieleghem(2004)观察到,KIVA-3V中的RNG kε和标准kε湍流模型预测了发动机循环期间湍流动能的不同趋势和水平。在这项工作中进行了三个不同的实验,以评估这些预测。讨论并比较了每种情况下的各种湍流参数。通过比较雷诺兹分解,高斯滤波器和适当的正交分解(POD)结果,解决了循环间可变性的问题。首先,提出了PIV实验,以分析三个曲柄角在压缩冲程的旋流平面中的流动。在每个位置的实验性高涡旋结果均与RNG和标准k-ε模型吻合。 16mm的高斯滤波器与POD截止点比较好。其次,针对同一平面显示高分辨率PIV数据。与Kolmogorov理论一致,数据显示了从无粘性惯性区域到湍流耗散区域的“滚降”。对于将来的子网格模型开发(例如LES),这是重要的信息。第三,沿着汽缸中的垂直中心平面解决了燃油喷射对周围空气湍流的影响,以验证湍流和喷雾子模型。湍流模型和实验数据表明,随着燃料喷射,周围空气的湍流水平没有显着增加。发现湍流模型的预测与实验性高涡旋结果的定性吻合,而低涡旋流结果则完全不同。

著录项

  • 作者

    Funk, Charles Owen.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 204 p.
  • 总页数 204
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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