Three-dimensional temperature reconstruction of diffusion flame from the light-field convolution imaging by the focused plenoptic camera

Shi, Jingwen; Qi, Hong; Yu, Zhiqiang; An, Xiangyang; Ren, Ya-Tao; Tan, He‐Ping

doi:10.1007/s11431-020-1761-2

Cited by 11 publications

(2 citation statements)

References 43 publications

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“…Recently, Y. Liu et al proposed a light-field sectioning pyrometry (LFSP) method which combined light-field imaging and color ratio pyrometry (CRP) to achieve in situ temperature measurement of ethylene flame. Moreover, the spatial resolution of reconstruction was improved in lateral and depth directions based on their cage-typed light-field camera (Liu et al, 2021a;Shi et al, 2022).…”

Section: Temperature Measurementmentioning

confidence: 99%

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A Survey for 3D Flame Chemiluminescence Tomography: Theory, Algorithms, and Applications

Jin

Situ

2022

Front. Photon.

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Combustion diagnostics play an essential role in energy engineering, transportation, and aerospace industries, which has great potential in combustion efficiency improvement and polluting emission control. The three-dimensional (3D) visualization of the combustion field and the measurement of key physical parameters such as temperature, species concentration, and velocity during the combustion process are important topics in the field of combustion diagnostics. Benefiting from the non-contact and non-intrusive advantages of the optical detection method as well as the advantages of the 3D full-field measurement of the measured field by computational tomography, flame chemiluminescence tomography (FCT) has the ability to realize non-intrusive and instantaneous 3D quantitative measurement and 3D full-field visualization of key physical parameters in the combustion process, which has crucial research significance in combustion diagnostics. In this study, we review the progress of FCT technique. First, we provide an extensive review of practical applications of FCT in state-of-the-art combustion diagnostics and research. Then, the basic concepts and mathematical theory of FCT are elaborated. Finally, we introduce the conventional reconstruction algorithm and proceed to more popular artificial intelligence-based algorithms.

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Section: Temperature Measurementmentioning

confidence: 99%

“…Likewise, a light-field camera was used in H. Qi's study. Based on their light-field convolution imaging model, multidimensional radiation information of the flame was collected by LFC, and 3D temperature distribution was further retrieved (Qi et al, 2021b;Niu et al, 2021;Shi et al, 2022).…”

Section: Acquirement Of Projectionsmentioning

confidence: 99%