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IMPLEMENTATION OF A SURFACE ROUGHNESS -BASED TRANSITION ONSET CORRECTION IN THE γ-R_(θ_t) TRANSITION MODEL

机译:在γ-R_(θ_t)转换模型中基于表面粗糙度的转换起始校正的实现

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This paper presents an extension of the y-Re, transition model of Menter et al. (2006) that aims to take into account the effect of a specific type of surface roughness on the transition location. This was done by implementing the roughness transition onset correction of Stripf et al. (2009) inside the y-Re, model. Stripf et al. have developed a correlation that takes into account the height and spacing of distributed roughness elements to correct the transition Reynolds number predicted over a smooth surface. As the transition Reynolds number takes multiple forms in the y-Re, model, different implementations of the Stripf et al. correction were tested and are discussed here. We find that it is best to correct the value of the critical Reynolds number R_(θ_c). Computation results on a rough, low-pressure turbine vane are presented and compared to experimental results of the Karlsruhe Institute of Technology. We find that there is a good agreement on the transition location between the computations and experiments. In particular, the model displays accurate sensitivity to the roughness height, though the influence of the roughness spacing, which is of second order in these experiments, is not as well captured. We therefore conclude that the roughness transition onset correction of Stripf et al. is well suited for use in the y-Re, model.
机译:本文提出了Menter等人的y-Re过渡模型的扩展。 (2006年)的目的是考虑到特定类型的表面粗糙度对过渡位置的影响。这是通过执行Stripf等人的粗糙度过渡开始校正来完成的。 (2009年)内部的y-Re模型。 Stripf等。已经开发出一种相关性,该相关性考虑了分布的粗糙度元素的高度和间距,以校正在光滑表面上预测的跃迁雷诺数。由于跃迁雷诺数在y-Re模型中采用多种形式,因此Stripf等人的实现方式有所不同。校正进行了测试,并在这里讨论。我们发现最好校正临界雷诺数R_(θ_c)的值。给出了在粗糙的低压涡轮叶片上的计算结果,并将其与卡尔斯鲁厄技术学院的实验结果进行了比较。我们发现在计算和实验之间的过渡位置上有很好的一致性。尤其是,该模型显示出对粗糙度高度的精确灵敏度,尽管并未很好地捕获在这些实验中处于第二级的粗糙度间距的影响。因此,我们得出结论,Stripf等人的粗糙度过渡开始校正。非常适合用于y-Re模型。

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