Coupling of Mainstream Velocity Fluctuations With Plenum Fed Film Cooling Jets

Spencer J. Sperling, Louis E. Christensen, Richard Celestina, Randall M. Mathison, H. Aksoy, Jong-Shang Liu, Jeremy B. Nickol
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Abstract

Modern gas turbine engines require film cooling to meet efficiency requirements. An integral part of the design process is the numerical simulation of the heat transfer to film cooled components and the resulting metal temperature. Industry design simulations are frequently performed using steady Reynolds averaged Navier-Stokes (RANS) simulations. However, much research has shown limitations in the use of steady RANS to predict film cooling performance. Prediction errors are typically attributed to poor modelling of turbulent mixing. Recent experiments measuring time-accurate film cooling jet behavior have indicated unsteady jet motions in sweeping and separation-reattachment modes contribute to the dispersion of the cooling jet along the cooled surface and the resulting time-averaged distribution. This study identifies the physical phenomena acting on film cooling jets issuing from fan-shaped film cooling holes, including acoustic resonance, which drive the unsteady behavior. Turbulent velocity fluctuations in the stream-wise direction cause corresponding fluctuations in the film cooling jet blowing ratio, which in turn reduces the time-averaged film cooling performance compared to the steady behavior that would be predicted with time-averaged blowing ratio. The plenum film cooling supply geometry acts as a Helmholtz resonator. An unsteady RANS (URANS) simulation including unsteady forcing is compared to experimental data. Helmholtz frequency excitation causes film cooling jet motions that qualitatively match the experiment. Resonant behavior causes the periods of lower blowing ratio to contribute to coolant dissipation rather than increased surface coverage. Results from URANS simulations demonstrate that replicating the unsteady jet motion is an important step in film cooling predictions. Starting with a steady baseline prediction, the URANS model used in this study is observed to reduce the overprediction of lateral average effectiveness by more than 50%, underlining the advantages of modeling the unsteady components of the Navier-Stokes equations.
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主流速度波动与充气气膜冷却射流的耦合
现代燃气涡轮发动机需要气膜冷却来满足效率要求。设计过程的一个组成部分是对薄膜冷却部件的传热和由此产生的金属温度的数值模拟。工业设计模拟经常使用稳定的雷诺平均纳维-斯托克斯(RANS)模拟进行。然而,许多研究表明,在使用稳定的RANS来预测膜冷却性能方面存在局限性。预测误差通常是由于紊流混合模拟不佳造成的。最近测量时间精确的膜状冷却射流行为的实验表明,在横扫和分离-再附着模式下的非定常射流运动有助于冷却射流沿冷却表面的分散和由此产生的时间平均分布。本研究确定了扇形气膜冷却孔发出的气膜冷却射流的物理现象,包括声共振,这些物理现象驱动了非定常行为。湍流速度在流向上的波动导致气膜冷却射流吹气比的相应波动,这反过来又降低了时间平均气膜冷却性能,而不是用时间平均吹气比预测的稳定行为。充气膜冷却供应的几何形状作为一个亥姆霍兹谐振器。将含非定常力的非定常RANS (URANS)模拟与实验数据进行了比较。亥姆霍兹频率激发引起的膜冷却射流运动在质量上与实验相符。共振行为导致较低吹风比的时间有助于冷却剂耗散,而不是增加表面覆盖。URANS的模拟结果表明,模拟非定常射流运动是气膜冷却预测的重要一步。从稳定基线预测开始,本研究中使用的URANS模型将横向平均有效性的过度预测减少了50%以上,强调了对Navier-Stokes方程的非定常分量建模的优势。
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