首页> 外文OA文献 >Turbulent Scalar Mixing in a Skewed Jet in Crossflow: Experiments and Modeling
【2h】

Turbulent Scalar Mixing in a Skewed Jet in Crossflow: Experiments and Modeling

机译:斜流中斜流中的湍流标量混合:实验和建模

摘要

Turbulent mixing of an inclined, skewed jet injected into a crossflow is investigated using MRI-based experiments and a high-fidelity LES of the same configuration. The MRI technique provides three-dimensional fields of mean velocity and mean jet concentration. The 30° skew of the jet relative to the crossflow produces a single dominant vortex which introduces spanwise asymmetries to the velocity and concentration fields. The turbulent scalar transport of the skewed jet is investigated in further detail using the LES, which is validated against the experimental measurements. Mixing is found to be highly anisotropic throughout the jet region. Isotropic turbulent diffusivity and viscosity are used to calculate an optimal value of the turbulent Schmidt number, which varies widely over the jet region and lies mostly outside of the typically accepted range 0.7 ≤ Sct ≤ 0.9. Finally, three common scalar flux models of increasing complexity are evaluated based on their ability to capture the anisotropy and predict the scalar concentration field of the present configuration. The higher order models are shown to better represent the turbulent scalar flux vector, leading to more accurate calculations of the concentration field. While more complex models are better able to capture the turbulent mixing, optimization of model constants is shown to significantly affect the results.
机译:使用基于MRI的实验和相同配置的高保真LES,研究了注入到横流中的倾斜偏斜射流的湍流混合。 MRI技术提供了平均速度和平均射流浓度的三维场。射流相对于横流的30°偏斜会产生一个主要的涡旋,该涡旋将展向的不对称性引入速度场和浓度场。使用LES对偏斜射流的湍流标量传输进行了更详细的研究,该LES已通过实验测量得到了验证。发现在整个射流区域内混合是高度各向异性的。各向同性湍流扩散率和粘度用于计算Schmidt湍流数的最佳值,该值在整个射流区域变化很大,并且大多在公认的0.7≤Sct≤0.9的范围之外。最后,根据复杂度不断提高的三种常见标量通量模型捕获各向异性并预测当前配置的标量浓度场的能力,对它们进行了评估。结果表明,高阶模型可以更好地表示湍流标量通量向量,从而可以更精确地计算浓度场。尽管更复杂的模型能够更好地捕获湍流混合,但模型常数的优化显示出对结果的显着影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号