考虑TRI效应影响的航发尾流红外特性数值研究

doi:10.7527/S1000-6893.2025.32986

Abstract

Abstract:

This study developed the ESTRI numerical simulation software for infrared characteristics of hydrocarbon-fueled exhaust systems by integrating Embedded Large Eddy Simulation （ELES） and the Atmospheric Transmissivity Weighted Multi-Species Wide-Band （ATWMSWB） k-distribution gas radiation model. The reliability of the ELES and ATWMSWB models was verified by comparing with measurement data of flow field parameter distributions for both subsonic and supersonic nozzle exhaust plumes， as well as Line-By-Line （LBL） calculation results for transient flow field remote sensing infrared imaging. The computational accuracy of the ESTRI software for the time-averaged infrared signals of turbulent gas jets was further validated by comparing numerical results with measured integral radiation intensity data from a small aero-engine exhaust system plume. Based on this， a numerical study was conducted to investigate the impact of three often-neglected factors in exhaust system infrared characteristic calculations-Turbulence-Radiation Interaction （TRI）， humidity of engine ingestion ambient air， and real-gas effects-on the infrared signals in the 3.7–4.8 μm wavelength band. The results show that TRI significantly influences the infrared characteristics of gas jets， with its effect slightly increasing with detection distance increase. The water vapor ingested from ambient air by the engine has little impact on the near-field infrared signals of the exhaust plume but can account for up to one-third of its far-field infrared signals. Real-gas effects also have a noticeable influence on the infrared signature of gas jets.

Key words: Embedded Large Eddy Simulation (ELES), Turbulence-Radiation Interaction (TRI), exhaust plume, infrared radiation, gas radiation model

CLC Number:

V211.3

Gaoxiang LI, Xianjun YU, Haiyang HU, Qiang WANG, Yihan LI, Yiwei CHEN. Numerical study on infrared characteristics of aero-engine exhaust plume considering TRI effects[J]. Acta Aeronautica et Astronautica Sinica, 2026, 47(14): 132986.

Figures/Tables 27

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References 44

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参数	数值
压力/Pa	101 300
温度/K	299.7
水蒸气摩尔分数	2.59×10^-2
二氧化碳摩尔分数	4.20×10^-4
一氧化碳摩尔分数	1.50×10^-7
臭氧摩尔分数	2.870×10^-8
一氧化二氮摩尔分数	3.377×10^-7
甲烷摩尔分数	1.921×10^-6

喷管编号	喷管类型	A/A^*	D_in/mm	D/mm	L_N/mm
SMC000	收缩喷管		152.4	50.8	165
SMC020	收扩喷管	1.757	57.1	50.8	165

喷管编号	Ma_out	T_out/T_∞	NPR	出口雷诺数Re
SMC000	0.67	1.764	1.357	8.91×10⁵
SMC020	2	1.818	7.722	1.204×10⁶

热力学参数	测量方法	数值
总压/Pa	总压探针	114 691
总温/K	总温热电偶	890
二氧化碳摩尔分数	基于涡喷发动机的油气比及其吸入环境空气的组分	0.037 3
水蒸气摩尔分数	基于涡喷发动机的油气比及其吸入环境空气的组分	0.062 8

探测距离/m	成像角度/（°）	空气类型	燃气类型	TRI	积分辐射强度/（W·sr^-1）
8	90	干空气	真实	无	1.25 （基于RANS）
8	90	湿空气	真实	有	1.43（TRI占比33.53%）
8	90	湿空气	真实	无	0.95
8	90	干空气	真实	有	1.41
8	90	湿空气	理想	有	1.35
400	90	湿空气	真实	有	0.142 2（TRI占比36.37%）
400	90	湿空气	真实	无	0.09
400	90	干空气	真实	有	0.136 0
400	90	湿空气	理想	有	0.135 4
2×10⁴	90	湿空气	真实	有	5.7×10^-5（TRI占比38.51%）
2×10⁴	90	湿空气	真实	无	3.5×10^-5
2×10⁴	90	干空气	真实	有	3.8×10^-5
2×10⁴	90	湿空气	理想	有	5.4×10^-5

Numerical study on infrared characteristics of aero-engine exhaust plume considering TRI effects

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