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考虑TRI效应影响的航发尾流红外特性数值研究

李高翔1,于贤君1,胡海洋2,王强3,李一涵4,陈一伟2   

  1. 1. 北京航空航天大学航空发动机研究院
    2. 北京航空航天大学能源与动力工程学院
    3. 北航航空航天大学能源与动力工程学院
    4. 北京航空航天大学
  • 收稿日期:2025-10-29 修回日期:2026-01-12 出版日期:2026-01-15 发布日期:2026-01-15
  • 通讯作者: 胡海洋

Numerical Study on Infrared Characteristics of Aero-Engine Exhaust Plume Considering TRI Effects

  • Received:2025-10-29 Revised:2026-01-12 Online:2026-01-15 Published:2026-01-15
  • Contact: hai yangHU

摘要: 本研究发展了结合嵌入式大涡模拟(ELES)与大气透射率加权宽带k分布气体辐射模型(ATWMSWB)的碳氢燃料排气系统红外特性数值计算软件ESTRI。并分别对比亚声速与超声速喷管尾流场参数分布测量数据、瞬态流场遥感红外成像逐线计算(LBL)结果验证了ELES与ATWMSWB模型的可靠性。通过对小型航空发动机排气系统尾喷流积分辐射强度的测量,对比数值计算结果进一步验证了ESTRI软件对湍流燃气射流时均红外信号的计算精度。在此基础上数值研究了排气系统红外特性计算中常被忽视的三个因素——湍流与辐射相互干扰特性(TRI)、发动机吸入环境空气湿度、真实气体效应——对其3.7-4.8微米波段红外信号的影响。结果表明,TRI特性对燃气喷流红外特性影响显著,且随探测距离的增加而略有增大;发动机吸入环境空气中的水蒸气对其尾喷流近距离红外信号的影响很小,但对其远距离红外信号的贡献可达1/3;真实气体效应对燃气喷流红外信号也有可见影响。

关键词: 嵌入式大涡模拟(ELES), 湍流-辐射相互干扰(TRI), 尾喷流, 红外辐射, 气体辐射模型

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 k-distribution (ATWMSWB) 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 by the engine from ambient air has a minor impact on the near-field infrared signals of the exhaust plume but can contribute up to one-third of the far-field infrared signal. 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