Experimental validation of an aircraft infrared signature code for commercial airliners

Coiro, Eric; Chatelard, Christian; Durand, Gérard; Langlois, S.; Martinenq, Jean-Pascal

doi:10.2514/6.2012-3190

Cited by 16 publications

(8 citation statements)

References 8 publications

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“…Therefore, this gap cannot be explained only by the optical behavior of the surfaces of the nozzle; an assessment of wall temperatures has to be performed. Further recent investigations consisting in comparing calculated and experimental B737 IRS for several aspect angles, show that a good agreement is obtained for the front and rear views, except for side views [31]. Theses results confirm that the thermal model of the external rear part of the engine has to be improved, whereas the internal temperature prediction inside the nozzle is sufficient.…”

Section: Resultssupporting

confidence: 64%

Global Illumination Technique for Aircraft Infrared Signature Calculations

Coiro¹

2013

Journal of Aircraft

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There is an increasing need of infrared signature knowledge of aerospace vehicles, both for defense and civilian applications, such as stealth technology, sensor design, and aerial obstacle detection for unmanned aerial vehicles. Models have been developed for this purpose by manufacturers or research laboratories, in order to predict infrared signatures of targets in the specific fields investigated. In some circumstances, it may be necessary to model complex radiative phenomena, such as diffuse reflections between different parts of the airframe, to improve the infrared target signature accuracy, or to help experimental image interpretation. An aircraft infrared signature modeling code, developed at ONERA, has been upgraded with a global illumination model, based on a Monte Carlo ray tracer, in order to evaluate the influence of these effects. First, this paper presents the main characteristics of the code and the principles of the rendering method. Next, comparisons are accomplished with another simulation tool and experimental data as well. The benefit of this approach in aircraft infrared signature computation is then discussed.

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Section: Resultssupporting

confidence: 64%

Global Illumination Technique for Aircraft Infrared Signature Calculations

Coiro¹

2013

Journal of Aircraft

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“…For first period, the experimental studies had been focused on the military aircraft infrared signature measurement and aircraft type recognition, too. Later, the practical measurement of the civilian large aircraft infrared radiation signatures (Coiro et al, 2012), the radiation modeling and countermeasure became to set of important tasks. Parallel, to these, the infrared radiation sensor technology (Rogalski, 2012) has been developed rapidly, too.…”

Section: Introductionmentioning

confidence: 99%

“…Both have the same objective target recognition. Several papers list the codes using in investigation of the aircraft infrared radiation (Coiro et al, 2012;McGlynn, Auerbach, 1997;Mahulikar et al, 2007) from SIGGE of Swedish Defence Research that can be applied to compute the aircraft infrared signature, especially effects from nozzles and plumes; trough the US code SPIRITS, NATO's NIRATAM validated on large set of military aircraft; code SIRUS generated by large companies Lockheed Martin UK INSYS and BAE Systems until commercial codes SE-WORKBENCH, Radtherm-IR, SAFIR and SEISM. The Belgium Defence establishment has developed an open-source code OSMOSIS for compute the ships infrared signature that can be applied to the Arial vehicles, too.…”

Section: Introductionmentioning

confidence: 99%

Small Aircraft Infrared Radiation Measurements Supporting the Engine Airframe Aero-thermal Integration

Rohács

Jankovics

Gál

et al. 2018

Period. Polytech. Transp. Eng.

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The large, EU Supported ESPOSA (Efficient Systems and propulsion for Small Aircraft) project has developed new small gas turbines for small aircraft. One of the important tasks was the engine - airframe aero-thermal radiation integration that included task of minimizing the infrared radiation of the small aircraft, too. This paper discusses the factors influencing on the aircraft infrared radiation, its possible simulation and measurements and introduces the results of small aircraft infrared radiation measurements. The temperature of aircraft hot parts heated by engines were determined for validation of methodology developed and applied to engine - aircraft thermal integration.

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“…In the simulation of the infrared image of targets, the Monte Carlo (MC) method is mostly in use both for the temperature calculation and the infrared image calculation based on the targets' temperature distribution [2][3] . Also the for the temperature calculation, the forward Monte Carlo method [4][5] is suitable, but for the image calculation, due to the usually long distance between the detector and the targets the backward Monte Carlo method (BMC) [6][7][8][9] is more efficient than the forward Monte Carlo method.…”

Section: Introductionmentioning

confidence: 99%

Spectral backward Monte Carlo method for surface infrared image simulation

et al. 2014

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The surface infrared radiation is an important part that contributes to the infrared image of the airplane. The Monte Carlo method for the infrared image calculation is suitable for the complex geometry of targets like airplanes. The backward Monte Carlo method is prior to the forward Monte Carlo method for the usually long distance between targets and the detector. Similar to the non-gray absorbing media, the random number relation is developed for the radiation of the spectral surface. In the backward Monte Carlo method, one random number that reverses the wave length (or wave number) may result deferent wave numbers for targets' surface elements on the track of a photon bundle. Through the manipulation of the densities of a photon bundles in arbitrary small intervals near wave numbers, all the wave lengths corresponding to one random number on the targets' surface elements on the track of the photon bundle are kept the same to keep the balance of the energy of the photon bundle. The model developed together with the energy partition model is incorporated into the backward Monte Carlo method to form the spectral backward Monte Carlo method. The developed backward Monte Carlo method is used to calculate the infrared images of a simple configuration with two gray spectral bands, and the efficiency of it is validated by compared the results of it to that of the non-spectral backward Monte Carlo method . Then the validated spectral backward Monte Carlo method is used to simulate the infrared image of the SDM airplane model with spectral surface, and the distribution of received infrared radiation flux of pixels in the detector is analyzed.

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Experimental validation of an aircraft infrared signature code for commercial airliners

Cited by 16 publications

References 8 publications

Global Illumination Technique for Aircraft Infrared Signature Calculations

Global Illumination Technique for Aircraft Infrared Signature Calculations

Small Aircraft Infrared Radiation Measurements Supporting the Engine Airframe Aero-thermal Integration

Spectral backward Monte Carlo method for surface infrared image simulation

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