IR imaging simulation and analysis for aeroengine exhaust system based on reverse Monte Carlo method

Shiguo Chen; Lihai Chen; Dongla Mo; Jingcheng Shi

doi:10.1117/12.2070850

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20 November 2014 IR imaging simulation and analysis for aeroengine exhaust system based on reverse Monte Carlo method

Shiguo Chen, Lihai Chen, Dongla Mo, Jingcheng Shi

Proceedings Volume 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications; 93000M (2014) https://doi.org/10.1117/12.2070850
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

The IR radiation characteristics of aeroengine are the important basis for IR stealth design and anti-stealth detection of aircraft. With the development of IR imaging sensor technology, the importance of aircraft IR stealth increases. An effort is presented to explore target IR radiation imaging simulation based on Reverse Monte Carlo Method (RMCM), which combined with the commercial CFD software. Flow and IR radiation characteristics of an aeroengine exhaust system are investigated, which developing a full size geometry model based on the actual parameters, using a flow-IR integration structured mesh, obtaining the engine performance parameters as the inlet boundary conditions of mixer section, and constructing a numerical simulation model of engine exhaust system of IR radiation characteristics based on RMCM. With the above models, IR radiation characteristics of aeroengine exhaust system is given, and focuses on the typical detecting band of IR spectral radiance imaging at azimuth 20°. The result shows that: (1) in small azimuth angle, the IR radiation is mainly from the center cone of all hot parts; near the azimuth 15°, mixer has the biggest radiation contribution, while center cone, turbine and flame stabilizer equivalent; (2) the main radiation components and space distribution in different spectrum is different, CO2 at 4.18, 4.33 and 4.45 micron absorption and emission obviously, H2O at 3.0 and 5.0 micron absorption and emission obviously.

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Shiguo Chen, Lihai Chen, Dongla Mo, and Jingcheng Shi "IR imaging simulation and analysis for aeroengine exhaust system based on reverse Monte Carlo method", Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 93000M (20 November 2014); https://doi.org/10.1117/12.2070850

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