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Optical Sectioning Tomographic Reconstruction of Three-Dimensional Flame Temperature Distribution Using Single Light Field Camera

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The temperature measurement has great significance for the combustion diagnostics and the study of flame characteristics. In this paper, an optical sectioning tomographic (OST) technique for 3-D flame temperature measurement… Click to show full abstract

The temperature measurement has great significance for the combustion diagnostics and the study of flame characteristics. In this paper, an optical sectioning tomographic (OST) technique for 3-D flame temperature measurement combined with light field imaging is proposed. First, the fundamental principle of light field OST is introduced in detail. Then, to determine the refocused depth, the point spread functions of the light field camera, and the relationship between the radiation intensity of flame and image gray value, the calibration works are carried out. Furthermore, the images of different sections of flame are acquired by the digital refocusing technology, and then the high-precision and real-time radiation intensity distribution of each section can be reconstructed using a tomographic reconstruction algorithm. Finally, in combination with the relationship between the image gray value and radiation intensity of flame, the 3-D flame temperature distribution can be calculated. The flame experiments of a candle and a single biomass particle in a fluidized bed under oxy-combustion conditions are performed to evaluate the light field OST system. Results show that the reconstructed results are in good agreement with the temperature distribution of the combustion flame. Compared with the traditional optical sectioning tomographic techniques, the light field OST has the advantages of simplicity of measurement system and fast response, and being suitable for 3-D temperature measurement of turbulent flame.

Keywords: temperature; flame; optical sectioning; light field; distribution

Journal Title: IEEE Sensors Journal
Year Published: 2018

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