错位板下游槽膜冷却的直接数值模拟

IF 2.8 Q2 MECHANICS Flow (Cambridge, England) Pub Date : 2022-03-01 DOI:10.1017/flo.2021.21
H. H. Xu, S. Lynch, Xiang I. A. Yang
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引用次数: 5

摘要

在制造涡轮发动机时,将燃烧室环空和涡轮环空作为单独的部件进行组装。这导致两个部件之间的平台间隙,必须提供泄漏空气,以防止极热的燃烧气体进入发动机内部。由于不同的热膨胀或装配公差,燃烧室和涡轮可能会错位。本文采用直接数值模拟的方法,研究了在平台交界处提供泄漏流的平台间失对问题。其几何形状是两个错位的板,具有交叉流和泄漏流,模拟为狭缝射流。两板的不对中产生前向不对中构型和后向不对中构型,射流/横流产生迎风混合层和背风混合层。与对中配置相比,前向错中配置间隙下游的冷却效率降低,后向错中配置间隙下游的冷却效率提高;这种响应随着通过间隙的流量增加而放大。除了冷却效果,我们还报告了流动统计数据,包括速度、温度、湍流动能和相关的湍流通量。我们发现在下风混合层产生强烈的湍流,因此湍流程度很高。另一方面,热能的混合主要发生在迎风混合层。涡流粘度和涡流电导率是湍流模拟的关键。我们发现在进入边界层开始与泄漏射流混合的区域涡旋粘度为负。分析表明,负涡旋黏度是流动滞后的结果:在进入边界层的涡旋和泄漏射流的涡旋达到平衡之前,需要时间或行进距离,因此,输运雷诺应力模型比局部涡旋黏度型模型更有利。本文的新颖之处在于直接的数值模拟,提供了对近壁面流场的直接了解,并阐明了吹风比和平台不对准对传热的影响。新颖之处还在于数据分析,它揭示了如何对这一流程进行建模。
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Direct numerical simulation of slot film cooling downstream of misaligned plates
Abstract When manufacturing a turbine engine, the combustor annulus and the turbine annulus are created as separate parts and assembled. This leads to an inter-platform gap between the two components, which must be supplied with leakage air to prevent ingestion of the extremely hot combustion gases into the interior of the engine. The combustor and the turbine are likely to misalign because of differential thermal expansion or assembly tolerances. This paper presents a direct numerical simulation study of inter-platform misalignment with leakage flow supplied at the junction of the platforms. The geometry is two misaligned plates with a cross-flow and a leakage flow simulated as a slot jet. The misalignment of the two plates gives rise to a forward misalignment configuration and a backward misalignment configuration, and the jet/cross-flow gives rise to a windward mixing layer and a leeward mixing layer. Compared with the aligned configuration, the cooling effectiveness immediately downstream of the gap decreases in the forward misalignment configuration and increases in the backward misalignment configuration; this response amplifies as the flow rate through the gap increases. In addition to the cooling effectiveness, we report flow statistics, including the velocity, the temperature, the turbulent kinetic energy and the relevant turbulent fluxes. We find strong turbulence generation in the leeward mixing layer and high turbulence level as a result. Mixing of the thermal energy, on the other hand, occurs predominantly in the windward mixing layer. The eddy viscosity and the eddy conductivity that are critical to turbulence modelling are also reported. We find negative eddy viscosity at regions where the incoming boundary layer starts to mix with the leakage jet. The analysis shows that the negative eddy viscosity is a result of flow hysteresis: it takes time, or travel distance, before the eddies in the incoming boundary layer and the eddies in the leakage jet come to an equilibrium, thereby favouring a transport Reynolds stress model over a local eddy viscosity type model. The novelty of this paper lies in the direct numerical simulations, which provide direct access to the near-wall flow field and clarify the effects of blowing ratio and platform misalignment on heat transfer. The novelty also lies in the data analysis, which sheds light on how this flow should be modelled.
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