Abstract
Axisymmetric flames are widely used in research on flame combustion mechanisms and mass and heat transfer because of their simple structure and applicability to complex reactions and transfer calculations. A new optical diagnostic method named light field camera has been validated as applicable for online detection of the temperature field of an axisymmetric flame. Reconstruction algorithms can be used to estimate the distribution of the flame temperature from the light field images and validated by setting a known distribution of temperature and radiative properties. In the present study, a model of meshed axisymmetric flame light field imaging was put forward. The complicated distribution of temperature and radiative properties were considered in the model after validation using two absorption coefficients arranged at different region. An axisymmetric laminar coflow diffusion ethylene flame was modeled to generate input data. Then, the Lucy–Richardson and nearest neighbor filtering deconvolution algorithms were applied to the refocused light field images for sectional reconstruction of the temperature field. Under the condition of high temperature and soot generated from ethylene flame, the obtained reconstructed temperature was comparable to the input temperature from 1400 K to 2000 K, within the detectable radiative intensity range of the light field camera.
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