Simultaneously retrieving of soot temperature and volume fraction in participating media and laminar diffusion flame using multi-spectral light field imaging

Li, Tianjiao; Zhang, Chuanxin; Liu, Dong

doi:10.1016/j.ijthermalsci.2023.108472

Cited by 7 publications

(2 citation statements)

References 53 publications

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“…Note that the integral of the Equation ( 11) is the integral in the rectangular coordinate system. For Equation (11), the power spectral density function in polar coordinates can be obtained. In order to obtain the power spectral density corresponding to different spatial wave numbers in the Descartes coordinate system, the grid data needs to be interpolated accordingly.…”

Section: Algebraic Reconstruction Methods Based On Radon Transformmentioning

confidence: 99%

“…Three-dimensional (3D) flame reconstruction using optical methods has been famous for decades, including the scanning laser sheet [7], light field imaging [8][9][10][11], volume tomography (VT) [12,13] and background-oriented Schlieren tomography (BOST) [2,5]. In these methods, BOST can obtain multi-position and multi-angle flame imaging information.…”

Section: Introductionmentioning

confidence: 99%

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Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Gao,

Zhang,

et al. 2023

Fire

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Background-oriented Schlieren tomography (BOST) is widely used for 3D reconstruction of turbulent flames. Two major concerns are associated with 3D reconstruction. One is the time asynchrony within the data acquisition of the high-speed camera. The other is that the ray tracing process requires significant computational consumption. This study proposes a ray tracing optimization method based on the k-d tree. The study results show that the average search nodes for each ray are only 0.018% of 3D flame with 3.07 million grid nodes. In addition, a parameter estimation method of the unknown azimuth power spectrum function is proposed. First, a typical Sandia turbulent jet diffusion flame dataset was built and validated accordingly, with experiments. The algorithm’s applicability to the 3D reconstruction of temperature and density fields is discussed on this basis. The root-mean-square error (RMSE) of the cross-section density for 3D reconstruction is below 0.1 kg/m3. In addition, the RMSE of the cross-section temperature is below 270 K. Finally, an uncertainty analysis of the flame reconstruction based on a physical model is performed by optimizing the ray tracing method. For the time asynchronous variance of 1 ms, the density uncertainty of the 3D reconstruction is below 1.6 × 10−2 kg/m3, and the temperature uncertainty is below 70 K. The method can provide an essential basis for the design of BOST systems and the 3D reconstruction of turbulent flames.

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Section: Algebraic Reconstruction Methods Based On Radon Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Gao,

Zhang,

et al. 2023

Fire

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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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Parametrical study on spectral radiation characteristics of solid fuel combustion medium for energy cascade utilization

Wang,

Shan,

Zhang

et al. 2024

Fuel

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Simultaneously retrieving of soot temperature and volume fraction in participating media and laminar diffusion flame using multi-spectral light field imaging

Cited by 7 publications

References 53 publications

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

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

Parametrical study on spectral radiation characteristics of solid fuel combustion medium for energy cascade utilization

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