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Simulation of the Infrared Emission from Nonscattering Aircraft Engine Exhaust Plumes Using Statistical Narrowband Models in Conjunction with Model Parameters Based on the Modern Spectroscopic Data

机译:基于现代光谱数据的统计窄带模型与模型参数的结合对非散射飞机发动机尾气中红外辐射的模拟

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Infrared (IR) emission properties of nonscattering exhaust plumes of realistic aircraft engines are studied and analyzed in this paper by means of numerical simulations applying statistical narrowband (SNB) models. A review of the model parameters generated by various authors is given. Different factors affecting the plume IR signature simulation such as the parameters fitting, applications of various band models, and the accuracy of the temperature grid used to generate the model parameters are discussed. Comparative calculations are performed applying the various data sets of the band model parameters in order to find out their effect on the plume IR emission prediction. It is shown that the total plume intensity is significantly underestimated by application of the old parameters when compared with those generated from the modern spectroscopic data. The effect of lobed flow mixer of a turbofan engine on the plume IR signature is studied. When compared with the annular flow mixer, the lobed mixer provides the IR emission reduction by 80% for the conditions investigated.
机译:本文通过统计窄带(SNB)模型的数值模拟,研究和分析了现实飞机发动机的非散射排气羽流的红外(IR)发射特性。审查了由不同作者生成的模型参数。讨论了影响羽状IR签名模拟的不同因素,例如参数拟合,各种波段模型的应用以及用于生成模型参数的温度网格的准确性。使用频带模型参数的各种数据集进行比较计算,以便找出它们对羽流IR发射预测的影响。结果表明,与现代光谱数据相比,使用旧参数会大大低估总羽流强度。研究了涡扇发动机的叶片流混合器对羽状红外特征的影响。与环形流动混合器相比,叶片混合器在所研究的条件下可将红外辐射降低80%。

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