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所属单位：能源与动力学院
发表刊物：JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER
摘要：Directional emissivity model and bidirectional reflectance distribution function model of typical metal surfaces are established for improving the prediction of the midwave infrared signature of a turbofan engine exhaust system. The reverse Monte Carlo method is applied to calculate the infrared signature of the engine exhaust system. The results show that the infrared radiation signature of turbofan engine exhaust system is greatly affected by the emissivity and bidirectional reflectance distribution function of the wall surfaces of the exhaust cavity. In the rear detection direction of the engine, the difference of the infrared signature between exhaust cavity with high emissivity and the exhaust cavity with low emissivity is about 26%. By reducing the emissivity of high-temperature components, increasing the emissivity of low-temperature components, and controlling the wall specular reflection, the infrared signature in the rear direction of the engine could be greatly reduced, for example, up to 40% for the case studied in the present work.
ISSN号：0887-8722
是否译文：否
发表时间：2017-01-01
合写作者：黄巍
通讯作者：黄伟,吉洪湖,黄巍