论文标题
带双梳光谱的超音速燃烧诊断
Supersonic Combustion Diagnostics with Dual Comb Spectroscopy
论文作者
论文摘要
超音速发动机开发需要对流体和热力学参数进行准确详细的测量,以优化发动机设计和基准计算流体动力学(CFD)模拟。在这里,我们证明具有模式锁定频率梳的双频率梳光谱(DC)可以同时对几个流量参数的绝对测量,这是由于激光器的宽带和超强的光学频率输出,在一系列条件下,不确定性较低。我们在6800-7200 cm-1的带宽上执行DCS测量,覆盖了数百个H2O吸收特征,其光谱间距为0.0067 cm-1和点间距精度为1.68 x 10-10 cm-1。我们在Wright-Patterson空军基地的速度,温度,压力,水摩尔分数和空气质量通量中展示了2D曲线。测量光束的狭窄角度提供了足够的空间分辨率,可以在隔离器和燃烧器的热喉咙中跨越斜冲击序列的特性。我们确定各种参数的总测量不确定性从1%的温度到水蒸气摩尔分数的9%,而吸收数据库/模型用于解释通常导致最不确定性的数据(将来为较低的不确定性留下最大的不确定性)。在各个测量位置的CFD表现出良好的一致性,在大多数概况和参数的DCS测量不确定性之内。
Supersonic engine development requires accurate and detailed measurements of fluidic and thermodynamic parameters to optimize engine designs and benchmark computational fluid dynamic (CFD) simulations. Here, we demonstrate that dual frequency comb spectroscopy (DCS) with mode-locked frequency combs can provide simultaneous absolute measurements of several flow parameters with low uncertainty across a range of conditions owing to the broadband and ultrastable optical frequency output of the lasers. We perform DCS measurements across a 6800-7200 cm-1 bandwidth covering hundreds of H2O absorption features resolved with a spectral point spacing of 0.0067 cm-1 and point spacing precision of 1.68 x 10-10 cm-1. We demonstrate 2D profiles of velocity, temperature, pressure, water mole fraction, and air mass flux in a ground-test dual-mode ramjet at Wright-Patterson Air Force Base. The narrow angles of the measurement beams offer sufficient spatial resolution to resolve properties across an oblique shock train in the isolator and the thermal throat of the combustor. We determine that the total measurement uncertainties for the various parameters range from 1% for temperature to 9% for water vapor mole fraction, with the absorption database/model that is used to interpret the data typically contributing the most uncertainty (leaving the door open for even lower uncertainty in the future). CFD at the various measurement locations show good agreement, largely falling within the DCS measurement uncertainty for most profiles and parameters.