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Infrared signature of aero-engine exhaust plume’s potential core and aircraft surface from direct bottom view

Published online by Cambridge University Press:  24 January 2025

A. Bhatt
Affiliation:
Aeronautical Development Agency, Bangalore, India Department of Aerospace Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India
S.P. Mahulikar*
Affiliation:
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain Departamento de Ingeniería Energética, Escuela de Ingeniería de Bilbao, University of the Basque Country UPV/EHU, San Mamés, Bilbao, Spain
*
Corresponding author: S.P. Mahulikar; Email: shripadprabhakar.mahulikar@ehu.eus

Abstract

Low-flying aircraft are susceptible to attacks by ground-launched infrared (IR)-guided man portable air defence system (MANPADS) and surface-to-air missiles (SAM). When seen from direct below, a dual band sensor can lock on to either exhaust plume or aircraft surfaces. Based on the magnitude of the IR signature, the missile can use any one source for the terminal guidance. In this study, the IR signature of the aircraft surface and potential plume core is analysed and compared from direct bottom view in different IR bands. In the Long Wave Infrared (LWIR) band, the surface emission is higher and in the Medium Wave Infrared (MWIR) band the plume emission is higher. The plume (MWIR) emission is higher than the surface (LWIR) emission for low Mach numbers, but as the Mach number increases the plume (MWIR) to surface (LWIR) emission ratio decreases, and at supersonic Mach numbers the surface LWIR signature is higher than the plume MWIR signature. The plume MWIR to surface LWIR ratio further depends on the engine power, altitude of operation and the emissivity of the aircraft surface. In the reheat mode, plume MWIR emission is always higher than the surface LWIR emission. The dual band IR detector can be a combination of short wave infrared (SWIR)-MWIR, SWIR-LWIR, and the MWIR-LWIR band. The MWIR-LWIR dual band combination is the best suited combination of IR windows for a dual band IR sensor/detector for aircraft application.

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

Rogalski, A. History of infrared detectors, Opto-Electron. Rev., 2012, 20, (3), pp 279308.CrossRefGoogle Scholar
Mahulikar, S.P. and Sonawane, H.R. Infrared signature studies of aerospace vehicles, Progr. Aerospace Sci., 2007, 43, (7-8), pp 218245.CrossRefGoogle Scholar
Mahulikar, S.P., Rao, G.A., Sane, S.K. and Marathe, A.G. Aircraft plume infrared signature in non-afterburning mode, J. Thermo-Phys. Heat Transfer, 2005, 19, (3), pp 413415.CrossRefGoogle Scholar
Rao, G.A. and Mahulikar, S.P. Effect of atmospheric transmission and radiance on aircraft infrared signatures, J. Aircrafts, 2005, 42, (4), pp 1046–1054.Google Scholar
Winterfeldt, D., and Sullivan, T.M. Should we protect airplanes against surface to air missile attack by terrorists? Decision Anal. Informs, 2006, 3, (2), pp 63–75.Google Scholar
Cha, J.H., Kim, T., Bae, J.Y., Kim, T. et al., Variation of supersonic aircraft skin temperature under different mach number and structure, J. Korea Inst. Mil. Sci. Technol., 2014, 17, (4), pp 463470.CrossRefGoogle Scholar
Lu, J. and Wang, Q. Aircraft-skin infrared radiation characteristics modeling and analysis, Chin. J. Aeronaut., 2009, 22, (5), pp 493497 . Google Scholar
Bhatt, A. and Mahulikar, S.P. Analysis of aero engine plume potential core infrared signature, Aircraft Eng. Aerospace Technol., 2024, 96, (3), pp 491498 . CrossRefGoogle Scholar
Mahulikar, S.P., Rao, G.A. and Kolhe, P.S. Infrared signatures of low flying aircraft and their rear fuselage skin emissivity optimization, J. Aircraft, 2006, 43, (1), pp 226–232.CrossRefGoogle Scholar
Kim, T., Lee, H., Bae, J.Y., Kim, T., Cha, J., Jung, D. and Cho, H.H. Susceptibility of combat aircraft modeled as an anisotropic source of infrared radiation, IEEE Trans. Aerospace Electron. Syst., 2016, 52, (5), pp 2467–2476.CrossRefGoogle Scholar
Yanwan, Y. and Yiyun, L. Generation of realistic infrared image for moving objects, Int. J. Infrared Millimeter Waves, 2004, 25, (7), pp 1087–1097.Google Scholar
Kajal, V. and Mahulikar, S.P. Analysis of infrared signature from aircraft frontal aspect due to skin friction heating, SAE Int. J. Aerospace, 2023, 16, (1), pp 3–20. Google Scholar
Li, N., Su, Z., Chen, Z. and Han, D. A real-time aircraft infrared imaging simulation platform, Optik, 2013, 124, pp 28852893.CrossRefGoogle Scholar
Huang, W. and Ji, H. Impact of background radiation on the long wave infrared radiation characteristics of aircraft at high altitude, Defence Sci. J., 2016, 66, pp 5156.CrossRefGoogle Scholar
Zhao, Y. and Zheng, S.-J. Nozzle dimension design for aircraft engine infrared signature and thrust active control using MOEA/D, Proc. Inst. Mech. Eng. Part G–J. Aerospace Eng., 2020, 234, (15), pp 21332138.CrossRefGoogle Scholar
Wang, H., Ji, H. and Lu, H. Experimental investigation on infrared radiation characteristics of two-dimensional convergent–divergent vectoring nozzle, J. Thermophys. Heat Transfer, 2019, 33, (3), pp 111.CrossRefGoogle Scholar
Lin, J., Tan, Y.-H. and Tian, J.-W. Coarse to fine aircraft detection from front-looking infrared images, Infrared Phys. Technol., 2018, 89, pp 181193.CrossRefGoogle Scholar
Cheng, W., Wang, Z.-X., Zhou, L., Sun, X.-L. and Shi, J.-W. Investigation of infrared signature of serpentine nozzle for turbofan, J. Thermophys. Heat Transfer, 2019, 33, (1), pp 170178.CrossRefGoogle Scholar
Haq, F. and Huang, J. Parametric design and IR signature study of exhaust plume from elliptical-shaped exhaust nozzles of a low flying UAV using CFD approach, Results Eng., 2022, 13, p 100320.CrossRefGoogle Scholar
Yue, Z., Qiang, W. and Ting, L. A new model to simulate infrared radiation from an aircraft exhaust system, Chin. J. Aeronaut., 2017, 30, (2), pp 651662 . Google Scholar
Mahulikar, S.P., Rastogi, P. and Bhatt, A. Aircraft signature studies using infrared cross-section and infrared solid angle, AIAA J. Aircraft, 2022, 59, pp 126136 . CrossRefGoogle Scholar
Mahulikar, S.P., Rao, G.A., Sane, S.K. and Marathe, A.G. Aircraft plume infrared signature in non-afterburning mode, J. Thermo-Phys. Heat Transfer, 2005, 19, (3) , pp 413–415. Google Scholar
Heragu, S.S., Rao, K.V.L. and Raghunandan, B.N. Generalized model for infrared perception from an engine exhaust, J. Thermo-Phys. Heat Transfer, 2002, 16, (1), pp 68–76.Google Scholar
Decher, R. Infrared emissions from turbofans with high aspect ratio nozzles, AIAA J. Aircraft, 1981, 18, (12) , pp 1025–1031. CrossRefGoogle Scholar
Johansson, M. and Dalenbring, M., Calculation of IR Signatures from Airborne Vehicles, SPIE paper, 6228-40, 2006.CrossRefGoogle Scholar
Rao, G.A. Infrared signature modeling and analysis of aircraft plume, Int. J. Turbo Jet Engines, 2011, 28, pp 187197 . CrossRefGoogle Scholar
Mei, F., Chen, S., Jiang, Y. and Cai, J. A preliminary model of infrared image generation for exhaust plume, Int. J. Image Graphics Signal Process., 2011, 4, pp 4652.CrossRefGoogle Scholar
Avital, G., Cohen, Y., Gamss, L., Kanelbaum, Y., Macales, J., Trieman, B. and Yaniv, S. Experimental and computational study of infrared emission from under-expanded rocket exhaust plumes, J. Thermo-Phys. Heat Transfer, 2001, 15, (4), pp 377–383.Google Scholar
Zhang, J., Qi, H., Jiang, D., Gao, B., He, M., Ren, Y. and Li, K. Integrated infrared radiation characteristics of aircraft skin and the exhaust plume, Materials, 2022, 15, p 7728.CrossRefGoogle ScholarPubMed
Mahulikar, S.P., Potnuru, S.K. and Rao, G.A. Study of sunshine, skyshine, and earthshine for aircraft infrared detection, J. Opt., 2009, 11, p 045703 . Google Scholar
Mahulikar, S.P., Rastogi, P., Bhatt, A. and Valodhi, S.P. Aircraft visibility in view from below in long-wave infrared band using infrared cross section, Appl. Opt., 2022, 61, pp 47844795.CrossRefGoogle ScholarPubMed
Kneizys, F.X., Shettle, E.P., Abreu, L.W., Chetwynd, J.H., Anderson, G.P., Gallery, W.O., Selby, J.E.A. and Clough, S.A. User guide to LOWTRAN 7, Hanscom, Massachusetts: Air Force Geophysics Laboratory, 1988.Google Scholar
Berger, X., Bathiebo, J., Kieno, F. and Awanou, C.N. Clear sky radiation as a function of altitude, Renewable Energy, 1992, 2, pp 139157.CrossRefGoogle Scholar
Bhatt, A. and Mahulikar, S.P. Study of statistical narrow-band models for infrared signature of an aeroengine exhaust plume in mid-wave infrared and short-wave infrared band, SAE Int. J. Aerospace, 2023, 16, (1), pp 2138.Google Scholar
Kurzke, J. and Halliwell, I. Propulsion and Power an Exploration of Gas Turbine Performance Modeling, Springer International Publishing, Gasturb14, 2018, Cham, Switzerland. Google Scholar
Philippe, D. and Cathonnet, M. The ignition, oxidation, and combustion of kerosene, a review of experimental and kinetic modeling, Progr. Energy Combust. Sci., 2006, 32, pp 4892.Google Scholar
Jackson, H.T. An Analytical Model for Predicting the Radiation from Jet Plumes in the Mid-Infrared Spectral Region, RN-RE-TR-70-07, April 1970.Google Scholar
Taine, J. A line-by-line calculation of low-resolution radiative properties of CO2-CO transparent non-isothermal gases mixtures up to 3000 K, J. Quant. Spectrosc. Radiat. Transfer, 1983, 30, pp 371379.CrossRefGoogle Scholar
Gordon, I. E., Rothman, L. S., Hill, C., Kochanov, R. V., Tan, Y., Bernath, P. F., ... & Zak, E. J. The HITRAN2016 molecular spectroscopic database, J. Quant. Spectrosc. Radiat. Transfer, 2017, 203, pp 3–69.Google Scholar