Influence of Fuel–Air Ratio, Exhaust Temperature, and Atmospheric Absorption Effects on Infrared Spectral Features of Aero-Engine Wake

The infrared spectral features of aero-engine wake serve as a crucial basis for infrared detection, tracking, and identification of aircraft. Their spectral line structure is regulated by the concentration and temperature of the exhaust gases, as well as atmospheric absorption effects. This study employs a high-precision numerical simulation model and conducts field experiments on infrared spectral detection of exhaust plumes to systematically investigate the influence mechanisms of three factors—fuel–air ratio (achieved by varying exhaust gas concentration), exhaust temperature, and atmospheric absorption effects—on key spectral features, including peak intensity, line broadening, shape, and position. Results indicate the following. The fuel–air ratio enhances peak intensity and broadens spectral line width by increasing CO2 and H2O concentrations within the fuel-lean operating regime (f = 0.025–0.031); exhaust temperature causes exponential spectral intensity growth and line broadening by elevating molecular energy level populations, while inducing H2O spectral band redshifts and fine-structure evolution; selective absorption by atmospheric H2O, CO2, and O3 causes severe spectral attenuation near bands at 1041 cm−1, 1590 cm−1, 2349 cm−1, and 3756 cm−1, with transmittance distribution modulated by geographical and seasonal factors. This study provides theoretical support for wake spectral feature extraction, infrared stealth design, and detection/tracking identification.

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Publication Details

Journal
Sensors
Published
2026-09-29
DOI
https://doi.org/10.3390/s26196167
Primary Topic
Combustion and flame dynamics
Type
article
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article

Influence of Fuel–Air Ratio, Exhaust Temperature, and Atmospheric Absorption Effects on Infrared Spectral Features of Aero-Engine Wake

Zhenping Kang, Rui Feng, 程晨 Cheng Chen, Shuping Huang et al.
Sensors
Combustion and flame dynamics
article

Influence of Fuel–Air Ratio, Exhaust Temperature, and Atmospheric Absorption Effects on Infrared Spectral Features of Aero-Engine Wake

Zhenping Kang, Rui Feng, 程晨 Cheng Chen, Shuping Huang, Haonan Li, Yurong Liao
article en

Abstract

The infrared spectral features of aero-engine wake serve as a crucial basis for infrared detection, tracking, and identification of aircraft. Their spectral line structure is regulated by the concentration and temperature of the exhaust gases, as well as atmospheric absorption effects. This study employs a high-precision numerical simulation model and conducts field experiments on infrared spectral detection of exhaust plumes to systematically investigate the influence mechanisms of three factors—fuel–air ratio (achieved by varying exhaust gas concentration), exhaust temperature, and atmospheric absorption effects—on key spectral features, including peak intensity, line broadening, shape, and position. Results indicate the following. The fuel–air ratio enhances peak intensity and broadens spectral line width by increasing CO2 and H2O concentrations within the fuel-lean operating regime (f = 0.025–0.031); exhaust temperature causes exponential spectral intensity growth and line broadening by elevating molecular energy level populations, while inducing H2O spectral band redshifts and fine-structure evolution; selective absorption by atmospheric H2O, CO2, and O3 causes severe spectral attenuation near bands at 1041 cm−1, 1590 cm−1, 2349 cm−1, and 3756 cm−1, with transmittance distribution modulated by geographical and seasonal factors. This study provides theoretical support for wake spectral feature extraction, infrared stealth design, and detection/tracking identification.

SensorsVol. 26(19)
Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Space Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 14%
Combustion and flame dynamics
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Influence of Fuel–Air Ratio, Exhaust Temperature, and Atmospheric Absorption Effects on Infrared Spectral Features of Aero-Engine Wake — Zhenping Kang, Rui Feng, et al. · Sensors (2026) | TGRS Research Map | TGRS