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Modélisation de la transition laminaire-turbulent par rugosité et bulbe de décollement laminaire sur les aubes de turbomachines

机译:通过粗糙度和层流分离球在涡轮机叶片上对层流-湍流过渡进行建模

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摘要

The goal of this thesis is to enhance laminar-turbulent transition modeling on high-lift lowpressure turbine blades. The presented transition modeling method relies on the Menter and Langtry transition model used in a RANS framework in the elsA solver.Once the model’s limits were clearly identified through a parametric study, we moved on to modification of the model. To do so, an optimization method was developed that allows recalibration of the model’s inner correlation functions. This new version of the model allows us to obtain modeling gains of about 20% on the VKI T106C cases through better capture of the separation-induced transition process.These previous computations correspond to ideal cases, for which surfaces may be considered as being smooth. However, we also have the need to consider more realistic surfaces for which roughness may influence the flow. Indeed, among those effects, is the potential influence of surface roughness on transition. In particular, if surface roughness induces transition up-stream of the smooth separation point, the separation bubble will be suppressed. Considering our efforts on modeling separation-induced transition with the Langtry model, it seemed natural to add roughness-induced transition modeling capacities to it. To do so, we implemented in the Langtry model a method developed by Stripf et al. to take into account surface roughness.Finally, the use of the Langtry transition model was extended to the k-l of Smith turbulence model. Indeed, this turbulence model is widely used in turbomachinery. In order that our works on transition modeling over turbine blades be more widely usable, we have completed this thesis by proposing an evolution of the transition model so that it may be used alongside the k-l model.
机译:本文的目的是增强高升程低压涡轮叶片的层流湍流过渡模型。提出的过渡建模方法依赖于elsA求解器的RANS框架中使用的Menter和Langtry过渡模型。一旦通过参数研究清楚地确定了模型的界限,我们便继续进行模型修改。为此,开发了一种优化方法,该方法可以重新校准模型的内部相关函数。该模型的新版本使我们能够更好地捕获由分离引起的过渡过程,从而在VKI T106C情况下获得约20%的建模增益。这些先前的计算对应于理想情况,对于这种情况,表面可以被认为是光滑的。但是,我们还需要考虑更粗糙的表面,这些表面可能会影响流动。实际上,在这些影响中,有表面粗糙度对过渡的潜在影响。特别地,如果表面粗糙度引起平滑分离点向上游过渡,则分离气泡将被抑制。考虑到我们使用Langtry模型对分离引起的过渡建模的努力,向其添加粗糙度诱导的过渡建模功能似乎很自然。为此,我们在Langtry模型中实现了Stripf等人开发的方法。最后,将Langtry过渡模型的使用扩展到Smith湍流模型的k-1。实际上,这种湍流模型已广泛应用于涡轮机械中。为了使我们在涡轮叶片上进行过渡建模的工作能够更广泛地使用,我们通过提出过渡模型的改进来完成本论文,以便可以将其与k-l模型一起使用。

著录项

  • 作者

    Minot Alexandre;

  • 作者单位
  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 fr
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