根据飞机发动机排放测量的要求,针对传统测试系统复杂、技术难度大、成本高和实时性差的缺点,引入傅里叶变换红外(FTIR)被动遥测技术,使用FTIR发射光谱对飞机发动机排放气体组分进行定量分析,计算出排放指数。介绍了遥感测量原理和大气辐射的一个3层计算模型。采用Tensor27在无人机测试台获得某型发动机的一系列单通道光谱,计算出在14%,26%,50%,69%最大推力下,对应CO的排放指数分别为40.00,30.70,6.67,2.56g/kg,对应NO的排放指数分别为0.79,2.09,8.24,38.70g/kg。结果表明,FTIR发射光谱技术在飞行中的飞机发动机排放测试中具有巨大的应用前景。
To meet the requirement for aircraft engine exhausts measurements and overcome the drawbacks of traditional measurement methods, such as complex systems, difficult technology, costliness and poor realtime realization, the remote passive sensing technology is applied to monitor aircraft engine exhausts, using the Fourier transform infrared (FTIR) emission-spectroscopy to quantify the compounds of the gases from the engine exhausts. The principle of measurement of remote sensing and a model algorithm of atmospheric radiation are introduced. The emission spectrums of aircraft engine exhausts are obtained by using a Tensor27 FTIR-system in a test rig. With 14%, 26%, 50%, and 69% of the maximum thrusts, the emission indices of CO are, respectively, 40.0, 30.7, 6.67, and 2.56 g/kg; the emission indices of NO are 0.79, 2.09, 8. 24, and 38.7g/kg, respectively. The results show that the FTIR-emission-spectroseopy has a very good prospect for application in measuring aircraft engine exhausts.