Raman temperature and density measurements in supersonic jets

被引:5
|
作者
Wernet, Mark P. [1 ]
Georgiadis, Nicholas J. [1 ]
Locke, Randy J. [2 ]
机构
[1] NASA, Glenn Res Ctr, Cleveland, OH 44135 USA
[2] HX5 LLC, Cleveland, OH 44135 USA
关键词
Computational fluid dynamics - Density of gases - Shear flow - Air - Turbulent flow - Raman scattering - Two phase flow - Heat flux - Supersonic aerodynamics - Velocity measurement - Flow fields - Forecasting;
D O I
10.1007/s00348-021-03162-2
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Prediction of flow-field properties in supersonic jets using computational fluid dynamics (CFD) code predictions has become routine; however, obtaining accurate solutions becomes more challenging when there is a significant temperature difference between the jet core and the ambient air and/or compressibility effects are significant. Benchmark sets of flow field property data are required in order to assess current CFD capabilities and develop better modeling approaches for these turbulent flow fields where accurate calculation of temperatures and turbulent heat flux is important. Particle Image Velocimetry, spontaneous rotational Raman scattering spectroscopy, and Background-Oriented Schlieren (BOS) have been previously used to acquire measurements of the mean and root-mean-square (rms) velocities, the mean and rms gas temperatures, and density gradients in subsonic jet flows and film cooling flows. In this work, the ability to measure density is added to the list of measurands available using the acquired Raman spectra. The suite of measurement techniques are now applied to supersonic jet flows. The computation of the local gas pressure in the potential core of an over-expanded jet is demonstrated using the Raman measured gas temperature and density. Additionally, a unique density feature in temperature matched, perfectly expanded jet flow shear layers identified using BOS was verified using the Raman measurement technique. These non-intrusive flow measurements are compared against RANS predictions of the supersonic jet flow properties as a means of assessing their prediction accuracy. [GRAPHICS] .
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页数:21
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