ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Numerical study on infrared characteristics of aero-engine exhaust plume considering TRI effects
Received date: 2025-10-29
Revised date: 2025-11-25
Accepted date: 2025-12-30
Online published: 2026-01-15
Supported by
National Science and Technology Major Project (J2019-Ⅲ-0009-0053)
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.
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 AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(14) : 132986 -132986 . DOI: 10.7527/S1000-6893.2025.32986
| [1] | AJDARI E, GUTMARK E, PARR T P, et al. Thermal imaging of afterburning plumes[J]. Journal of Propulsion and Power, 1991, 7(6): 873-878. |
| [2] | PEARCE B E, VARMA A K. Radiation-turbulence interaction in a tactical missile exhaust plume[C]∥ 16th Thermophysics Conference. Reston: AIAA, 1981. |
| [3] | 马晓平, 赵良玉. 红外导引头关键技术国内外研究现状综述[J]. 航空兵器, 2018(3): 3-10. |
| MA X P, ZHAO L Y. An overview of infrared seeker key technologies at home and abroad[J]. Aero Weaponry, 2018(3): 3-10 (in Chinese). | |
| [4] | KABASHNIKOV V P, MYASNIKOVA G I. Thermal radiation in turbulent flows—Temperature and concentration fluctuations[J]. Heat transfer/Soviet Research, 1985, 17(6): 116-125. |
| [5] | LIU L H, XU X, CHEN Y L. On the shapes of the presumed probability density function for the modeling of turbulence-radiation interactions[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2004, 87(3-4): 311-323. |
| [6] | SNEGIREV A Y. Statistical modeling of thermal radiation transfer in buoyant turbulent diffusion flames[J]. Combustion and Flame, 2004, 136(1-2): 51-71. |
| [7] | BOGEY C, BAILLY C, JUVé D. Noise investigation of a high subsonic, moderate Reynolds number jet using a compressible large eddy simulation[J]. Theoretical and Computational Fluid Dynamics, 2003, 16(4): 273-297. |
| [8] | POITOU D, AMAYA J, HAFI M EL, et al. Analysis of the interaction between turbulent combustion and thermal radiation using unsteady coupled LES/DOM simulations[J]. Combustion and Flame, 2012, 159(4): 1605-1618. |
| [9] | RODRIGUES P, GICQUEL O, FRANZELLI B, et al. Analysis of radiative transfer in a turbulent sooting jet flame using a Monte Carlo method coupled to large eddy simulation[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2019, 235: 187-203. |
| [10] | MASHHADIMOSLEM H, GHAEMI A, PALACIOS A. A comparative study of radiation models on propane jet fires based on experimental and computational studies[J]. Heliyon, 2021, 7(6): e07261. |
| [11] | POITOU D, HAFI M EL, CUENOT B. Diagnosis of turbulence radiation interaction in turbulent flames and implications for modeling in Large Eddy Simulation[J]. Turkish Journal of Engineering and Environmental Sciences, 2007, 31(6): 371-381. |
| [12] | FRAGA G C, MIRANDA F C, FRAN?A F H R, et al. Assessment of a model for emission subgrid-scale turbulence-radiation interaction applied to a scaled Sandia flame DD[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2020, 248: 106986. |
| [13] | 郝健辛, 王强, 胡海洋. 基于改进SGS-TRI模型的湍流燃气射流红外辐射特性[J]. 航空学报, 2025, 46(17): 131549. |
| HAO J X, WANG Q, HU H Y. Infrared radiation characteristics of turbulent gas jets based on improved SGS-TRI model[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(17): 131549 (in Chinese). | |
| [14] | TULLIS M, WALTERS D K. A near-wall methodology for large-eddy simulation based on dynamic hybrid RANS-LES[J]. Entropy, 2024, 26(12): 1095. |
| [15] | TOULORGE T, DESMET W. CFL Conditions for Runge-Kutta discontinuous Galerkin methods on triangular grids[J]. Journal of Computational Physics, 2011, 230(12): 4657-4678. |
| [16] | YAN Z G, PAN Y, CASTIGLIONI G, et al. Nektar++: Design and implementation of an implicit, spectral/hp element, compressible flow solver using a Jacobian-free Newton Krylov approach[J]. Computers & Mathematics with Applications, 2021, 81: 351-372. |
| [17] | LEI D, YANG H, ZHENG Y, et al. A modified shielding and rapid transition DDES model for separated flows[J]. Entropy, 2023, 25(4): 613. |
| [18] | EKATERINARIS J A. High-order accurate, low numerical diffusion methods for aerodynamics[J]. Progress in Aerospace Sciences, 2005, 41(3-4): 192-300. |
| [19] | HARTMANN J M, LEVI DI LEON R, TAINE J. Line-by-line and narrow-band statistical model calculations for H2O[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1984, 32(2): 119-127. |
| [20] | SOUFIANI A, TAINE J. High temperature gas radiative property parameters of statistical narrow-band model for H2O, CO2 and CO, and correlated-K model for H2O and CO2 [J]. International Journal of Heat and Mass Transfer, 1997, 40(4): 987-991. |
| [21] | MODEST M F. Narrow-band and full-spectrum k-distributions for radiative heat transfer: Correlated-k vs. scaling approximation[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2003, 76(1): 69-83. |
| [22] | ANDRé F. The ?-distribution method for modeling non-gray absorption in uniform and non-uniform gaseous media[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2016, 179: 19-32. |
| [23] | ZHANG H M, MODEST M F. Scalable multi-group full-spectrum correlated-k distributions for radiative transfer calculations[J]. Journal of Heat Transfer, 2003, 125(3): 454-461. |
| [24] | ANDRé F, HOU L F, ROGER M, et al. The multispectral gas radiation modeling: A new theoretical framework based on a multidimensional approach to k-distribution methods[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2014, 147: 178-195. |
| [25] | CAI J, MODEST M F. Improved full-spectrum k-distribution implementation for inhomogeneous media using a narrow-band database[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2014, 141: 65-72. |
| [26] | HU H Y, WANG Q. Improved spectral absorption-coefficient grouping strategies in radiation heat transfer calculations for combustion gases with pressure and temperature inhomogeneity[J]. Numerical Heat Transfer, Part B: Fundamentals, 2019, 75(3): 178-197. |
| [27] | KHODYKO Y V, KURSKOV A A, ANTIPOROVICH N V. Multigroup method for the calculation of selective IR radiation transfer in nonhomogeneous media[J]. Journal of Applied Spectroscopy, 1986, 44(3): 284-288. |
| [28] | PIERROT L, RIVIèRE P, SOUFIANI A, et al. A fictitious-gas-based absorption distribution function global model for radiative transfer in hot gases[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1999, 62(5): 609-624. |
| [29] | SOUFIANI A, ANDRé F, TAINE J. A fictitious-gas based statistical narrow-band model for IR long-range sensing of H2O at high temperature[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2002, 73(2-5): 339-347. |
| [30] | WEST R, CRISP D, CHEN L K. Mapping transformations for broadband atmospheric radiation calculations[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1990, 43(3): 191-199. |
| [31] | ANDRé F, SOLOVJOV V P, WEBB B W, et al. Spectral mapping method based on intervals of comonotonicity for modelling of radiative transfer in non-uniform gaseous media[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2019, 229: 33-39. |
| [32] | PIERROT L, SOUFIANI A, TAINE J. Accuracy of narrow-band and global models for radiative transfer in H2O, CO2, and H2O-CO2 mixtures at high temperature[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1999, 62(5): 523-548. |
| [33] | SHI G Y, XU N, WANG B, et al. An improved treatment of overlapping absorption bands based on the correlated k distribution model for thermal infrared radiative transfer calculations[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2009, 110(8): 435-451. |
| [34] | LI Y H, HU H Y, HU Q R, et al. Genetically grouped atmospheric transmissivity weighted multi-group wide-band k-distribution model for remote infrared imaging[J]. Infrared Physics & Technology, 2026, 152: 106181. |
| [35] | HU H Y, LI G X, LI Y H, et al. An atmospheric transmissivity weighted MSWB model used to calculate TRI characteristics for remote infrared signals of jet engine exhaust systems[J]. Case Studies in Thermal Engineering, 2026, 77: 107626. |
| [36] | 罗明东, 吉洪湖, 黄伟. 非加力涡轮发动机排气系统红外辐射强度的数值计算[J]. 航空动力学报, 2007, 22(10): 1609-1616. |
| LUO M D, JI H H, HUANG W. Numerical evaluation on infrared radiant intensity of exhaust system of turbine engine without afterburning[J]. Journal of Aerospace Power, 2007, 22(10): 1609-1616 (in Chinese). | |
| [37] | BO L, WANG Q, HU H Y. Multidisciplinary design optimization of axisymmetric exhaust systems: Integrating aerodynamic performance and infrared stealth capabilities[J]. International Journal of Thermal Sciences, 2025, 208: 109462. |
| [38] | 吕蓉, 牛青林, 董士奎. 类B-2型飞行器红外辐射特性数值模拟[J]. 红外与激光工程, 2023, 52(7): 20220810. |
| LV R, NIU Q L, DONG S K. Numerical simulation of infrared radiation characteristics of the B-2-like aircraft[J]. Infrared and Laser Engineering, 2023, 52(7): 20220810 (in Chinese). | |
| [39] | PIERCE C D, MOIN P. A dynamic model for subgrid-scale variance and dissipation rate of a conserved scalar[J]. Physics of Fluids, 1998, 10(12): 3041-3044. |
| [40] | 魏合理, 戴聪明, 武鹏飞, 等. 通用大气辐射传输软件CART在场景计算中的应用[J]. 红外与激光工程, 2022, 51(5): 1-10. |
| WEI H L, DAI C M, WU P F, et al. Applications of scene calculations of atmopsheric radiative transfer by using of CART[J]. Infrared and Laser Engineering, 2022, 51(5): 1-10 (in Chinese). | |
| [41] | LOCKE R J, WERNET M P, ANDERSON R C. Rotational Raman-based temperature measurements in a high-velocity, turbulent jet[J]. Measurement Science and Technology, 2018, 29(1): 015205. |
| [42] | WERNET M P, GEORGIADIS N J, LOCKE R J. Velocity, temperature and density measurements in supersonic jets[C]∥ AIAA Scitech 2021 Forum. Reston: AIAA, 2021. |
| [43] | GEORGIADIS N J, DEBONIS J R. Navier-Stokes analysis methods for turbulent jet flows with application to aircraft exhaust nozzles[J]. Progress in Aerospace Sciences, 2006, 42(5-6): 377-418. |
| [44] | MAZUMDER S, MODEST M F. Turbulence-radiation interactions in nonreactive flow of combustion gases[J]. Journal of Heat Transfer, 1999, 121(3): 726-729. |
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