Home Simulation and analysis of hot plume infrared signature based on SNB model
Article
Licensed
Unlicensed Requires Authentication

Simulation and analysis of hot plume infrared signature based on SNB model

  • Yue Zhou , Jie Wu , Liang Li EMAIL logo , Qisheng Guo , Xijuan Zhu and Jing Ma
Published/Copyright: June 4, 2021
Become an author with De Gruyter Brill

Abstract

Numerical calculation of infrared emission from hot plume is of great significance for flight monitoring and detections. In this paper, the SNB (statistical narrow band) model established with parameters derived from the high-resolution spectral database HITEMP 2010 is used to perform the hot plume infrared signature simulations. Accuracy of the model is examined by the exact LBL (line by line) method, which proves the model’s reliability to predict radiative properties of combustion gases. In the application part, the SNB model is used to analyze infrared signatures of aircraft plumes cruising at different flight altitudes. The results show that cruising at a higher-altitude will obviously reduce the plume infrared emission. Besides, the plume infrared emissive energy mainly concentrates in a special wavenumber interval and can be strongly absorbed by atmosphere.


Corresponding author: Liang Li, Military Exercise and Training Center, Army Academy of Armored Force, Beijing, China, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

1. Zhou, Y, Wang, Q, Li, T. A new model to simulate infrared radiation from an aircraft exhaust system. Chin J Aeronaut 2017;30:651–62. https://doi.org/10.1016/j.cja.2017.02.014.Search in Google Scholar

2. An, CH, Kang, DW, Baek, ST, Myong, RS, Kim, WC, Choi, SM. Analysis of plume infrared signatures of S-shaped nozzle configurations of aerial vehicle. J Aircraft 2016;53:1768–78. https://doi.org/10.2514/1.c033685.Search in Google Scholar

3. Huang, W, Ji, H. Effect of environmental radiation on the long-wave infrared signature of cruise aircraft. Aero Sci Technol 2016;56:125–34. https://doi.org/10.1016/j.ast.2016.07.006.Search in Google Scholar

4. Coiro, E. Global illumination technique for aircraft infrared signature calculations. J Aircraft 2013;50:103–13. https://doi.org/10.2514/1.c031787.Search in Google Scholar

5. Wang, H, Ji, H, Lu, H. The influence of nozzle deflection on fluid dynamic and infrared characteristics of a two-dimensional convergent–divergent vectoring exhaust system. Proc IME G J Aero Eng 2019;233:4646. https://doi.org/10.1177/0954410019827176.Search in Google Scholar

6. Rao, AG. Infrared signature modeling and analysis of aircraft plume. Int J Turbo Jet Engines 2011;28:187–97. https://doi.org/10.1515/tjj.2011.023.Search in Google Scholar

7. Haworth, MFMDC. Radiative heat transfer in turbulent combustion systems theory and applications. San Diego: Academic Press; 2013.Search in Google Scholar

8. Cai, J, Modest, MF. Improved full-spectrum k-distribution implementation for inhomogeneous media using a narrow-band database. J Quant Spectrosc Radiat Transfer 2014;141:65–72. https://doi.org/10.1016/j.jqsrt.2014.02.028.Search in Google Scholar

9. Niu, Q, Duan, X, Meng, X, He, Z, Dong, S. Radiative heating analysis of a Mars entry capsule based on narrow-band K-distribution method. Infrared Phys Technol 2019;102:1–12. https://doi.org/10.1016/j.infrared.2019.103033.Search in Google Scholar

10. Jo, SM, Kim, JW, Kwon, OJ. A narrow-band k-distribution model with single mixture gas assumption for radiative flows. Infrared Phys Technol 2018;91:27–36. https://doi.org/10.1016/j.infrared.2018.03.025.Search in Google Scholar

11. Li, H, Zhang, J, Cheng, Y, Huang, Z. Calculations of radiative intensity in one-dimensional gaseous media with black boundaries using the statistical narrow band model. J Quant Spectrosc Radiat Transfer 2020;240:1–9. https://doi.org/10.1016/j.jqsrt.2019.106691.Search in Google Scholar

12. Chu, H, Gu, M, Consalvi, J-L, Liu, F, Zhou, H. Effects of total pressure on non-grey gas radiation transfer in oxy-fuel combustion using the LBL, SNB, SNBCK, WSGG, and FSCK methods. J Quant Spectrosc Radiat Transfer 2016;172:24–35. https://doi.org/10.1016/j.jqsrt.2015.07.009.Search in Google Scholar

13. Liu, F, Smallwood, GJ. An efficient approach for the implementation of the SNB based correlated-k method and its evaluation. J Quant Spectrosc Radiat Transfer 2004;84:465–75. https://doi.org/10.1016/s0022-4073(03)00263-2.Search in Google Scholar

14. Wang, A, Modest, MF. High-accuracy, compact database of narrow-band k-distributions for water vapor and carbon dioxide. J Quant Spectrosc Radiat Transfer 2005;93:245–61. https://doi.org/10.1016/j.jqsrt.2004.08.024.Search in Google Scholar

15. Cheng, Y, Li, H, Zhang, J, Huang, Z. Solution of radiative intensity with high directional resolution in heterogeneous participating media and irregular geometries by the null-collision reverse Monte Carlo method. Int J Heat Mass Transfer 2020;152:119475. https://doi.org/10.1016/j.ijheatmasstransfer.2020.119475.Search in Google Scholar

16. Rothman, LS, Gordon, IE, Barber, RJ, Dothe, H, Gamache, RR, Goldman, A, et al.. HITEMP, the high-temperature molecular spectroscopic database. J Quant Spectrosc Radiat Transfer 2010;111:2139–50. https://doi.org/10.1016/j.jqsrt.2010.05.001.Search in Google Scholar

17. Rivière, P, Soufiani, A. Updated band model parameters for H2O, CO2, CH4 and CO radiation at high temperature. Int J Heat Mass Transfer 2012;55:3349–58. https://doi.org/10.1016/j.ijheatmasstransfer.2012.03.019.Search in Google Scholar

18. Min Chen, HT, Zhang, K, Hui, O, Wang, Y. Turbine-based combined cycle propulsion system integration concept design. Proc IME G J Aero Eng 2013;227:1068–89. https://doi.org/10.1177/0954410012449246.Search in Google Scholar

Received: 2021-04-26
Accepted: 2021-05-02
Published Online: 2021-06-04
Published in Print: 2023-08-28

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 22.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/tjj-2021-0006/html
Scroll to top button