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引用次数: 15

摘要

薄膜冷却在各种工程应用中广泛用于保护表面免受热或燃烧气体的影响。利用计算流体动力学(CFD)代码预测准确建模和预测当前设计的有效性,可以促进更高效薄膜冷却几何形状/配置的设计。因此,获得了一组流场特性的基准数据,用于评估当前的CFD能力和开发更好的湍流模型。利用粒子图像测速(PIV)和自发旋转拉曼散射(SRS)光谱技术,获得了单喷油器冷却流布置下的高质量、空间分辨的平均速度、湍流强度、平均温度和归一化均方根(rms)温度。除了流场测量,热电偶在板表面的测量可以估计薄膜的有效性。通过一个68.07 mm的方形喷嘴,在一定温度和马赫数下吹入加热空气,穿过一个装有单个喷油器冷却孔的30.48cm长板,得到了空气中的拉曼光谱,沿径向和轴向位置的矩阵。此外,在同一流场中采集了15个轴向站点的中心线流向2分量PIV和横流3分量立体PIV数据。然后将速度和温度数据与相同流动条件下的Wind-US CFD代码预测进行比较。这项研究和计划中的后续研究的结果将支持NASA对热流湍流模型的开发和评估。
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PIV and Rotational Raman-Based Temperature Measurements for CFD Validation in a Single Injector Cooling Flow
Film cooling is used in a wide variety of engineering applications for protection of surfaces from hot or combusting gases. The design of more efficient thin film cooling geometries/configurations could be facilitated by an ability to accurately model and predict the effectiveness of current designs using computational fluid dynamics (CFD) code predictions. Hence, a benchmark set of flow field property data were obtained for use in assessing current CFD capabilities and for development of better turbulence models. Both Particle Image Velocimetry (PIV) and spontaneous rotational Raman scattering (SRS) spectroscopy were used to acquire high quality, spatially-resolved measurements of the mean velocity, turbulence intensity and also the mean temperature and normalized root mean square (rms) temperatures in a single injector cooling flow arrangement. In addition to flowfield measurements, thermocouple measurements on the plate surface enabled estimates of the film effectiveness. Raman spectra in air were obtained across a matrix of radial and axial locations downstream from a 68.07 mm square nozzle blowing heated air over a range of temperatures and Mach numbers, across a 30.48cm long plate equipped with a single injector cooling hole. In addition, both centerline streamwise 2-component PIV and cross-stream 3-component Stereo PIV data at 15 axial stations were collected in the same flows. The velocity and temperature data were then compared against Wind-US CFD code predictions for the same flow conditions. The results of this and planned follow-on studies will support NASA’s development and assessment of turbulence models for heated flows.
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