Three-dimensional rapid visualization of flame temperature field via compression and noise reduction of light field imaging

Niu, Zhi-Tian; Qi, Hong; Shi, Jingwen; Ren, Ya-Tao; He, Ming-Jian; Zhou, Wu

doi:10.1016/j.icheatmasstransfer.2022.106270

Cited by 13 publications

(2 citation statements)

References 53 publications

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“…Over the years, various techniques have been devised and implemented for this purpose. Acoustic thermometry (AT) [1][2][3][4], coherent anti-Stokes Raman scattering spectrometry (CARS) [5], planar laser-induced fluorescence (PLIF) [6], radiation thermometry [7,8] and laser absorption spectroscopy (LAS) are examples of such techniques [9,10]. As a typical non-contact measurement method, tunable diode laser absorption spectroscopy (TDLAS) has many advantages, such as a fast measurement response, high accuracy, high sensitivity, the simultaneous measurement of multiple parameters, etc.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Zhao,

Du,

Zhang

et al. 2023

Applied Sciences

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Laser absorption spectroscopy tomography is an effective combustion diagnostic method for obtaining simultaneous two-dimensional distribution measurements of temperature and gas molar concentrations. For the reconstruction process of complex combustion flames, a new algorithm named ‘multi-iterative adaptive optimization regularization’ (MIARO) is proposed. This algorithm is a further development of another algorithm known as the ‘modified adaptive algebraic reconstruction technique’ (MAART) with the improvement of the initial value and adaptive regularization parameter selections. In MIARO, the problem of the MAART’s initial value sensitivity is compensated for, and in addition, reconstruction parameters are also introduced into the regularization so that both the quality of reconstruction and the convergence of regularization are guaranteed. In butane burner experiments, an average relative error of 1.82% was achieved with MIARO, compared to 2.44% with MAART, which is a significant reduction of 25.1%. The simulation and experimental results clearly demonstrate that the MIARO algorithm can be used to reconstruct dynamic combustion fields and eliminate boundary artifacts with improved measurement accuracy and robustness.

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Section: Introductionmentioning

confidence: 99%

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Zhao,

Du,

Zhang

et al. 2023

Applied Sciences

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“…High-speed relative movement of aircraft and the air leads to aerodynamic heating, which is also an important source of radiation [ 11 , 12 , 13 ]. In addition, due to the high temperature in the core area of the exhaust plume, the IR signal in the visible area near the nozzle will be affected inevitably by the heating effect of IR from the exhaust plume on the skin [ 14 , 15 , 16 ]. Therefore, it is of great significance to study the individual IR characteristics of aircraft skin and exhaust plume, as well as their interaction.…”

Section: Introductionmentioning

confidence: 99%

Integrated Infrared Radiation Characteristics of Aircraft Skin and the Exhaust Plume

Zhang

Jiang

et al. 2022

Materials

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Infrared radiation (IR) characteristics are important parameters for detecting, identifying, and striking military targets in the context of systematic countermeasures. Accurate calculation of IR characteristics for aircraft is significant for the simulation of war situations and the designation of combat strategy. In this work, integrated IR characteristics of aircraft skin and exhaust plume and their interaction are investigated by considering the reflection based on a bi-directional reflectance distribution function and various influence factors such as solar irradiation, ground reflection, aerodynamic heating, and projection radiation from the background. Combined with infrared emission and reflection characteristics of the skin, omnidirectional IR intensity distributions of 3−5 μm and 8−14 μm at different Mach numbers are obtained. The exhaust plume IR characteristic for different waves and wavebands are also investigated by considering the presence or absence of base and the difference in nozzle inlet temperature. On this basis, integrated IR characteristics between the skin and exhaust plume are investigated. Results show that aircraft IR characteristics of 3−5 μm are concentrated in the exhaust plume and high-temperature skin near the exhaust plume, while the signals of 8−14 μm are concentrated in the skin. The research results are expected to supply guidance for better detection and identification of typical flight targets.

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Efficient and robust CNN-LSTM prediction of flame temperature aided light field online tomography

Niu,

Qi,

Sun

et al. 2023

Sci. China Technol. Sci.

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Three-dimensional rapid visualization of flame temperature field via compression and noise reduction of light field imaging

Cited by 13 publications

References 53 publications

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Integrated Infrared Radiation Characteristics of Aircraft Skin and the Exhaust Plume

Efficient and robust CNN-LSTM prediction of flame temperature aided light field online tomography

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