Artifact removal in LAS-based combustion parameter tomography with flame distribution estimation and robust iterative algorithm

An artifact removal method used in combustion parameter tomography based on laser absorption spectroscopy is proposed. Robust flame distribution estimation is achieved by combining the optical path layout with the characteristics of the absorbance measured in the boundary of sensor. The estimated distribution is further used to supplement the constraints of the reconstruction equation, which improves the robustness and accuracy of the reconstruction results. Numerical simulation and experiment based on the McKenna burner has been carried out to compare the performance of the proposed method with that of the traditional method. In the representative case, the relative standard deviation decreases from the original 55% to 4%, and the correlation coefficient as increased from 0.84 to 0.96. The results demonstrate that the proposed method can effectively remove artifacts in image reconstruction and improve the accuracy of the reconstruction results.