Hybrid algorithm for three-dimensional flame chemiluminescence tomography based on imaging overexposure compensation

Area of Science:

• Combustion Science
• Optical Diagnostics
• Computational Fluid Dynamics

Background:

• Chemiluminescence tomography is crucial for 3D flame structure analysis.
• Image overexposure in diagnostics leads to data loss and reduced reconstruction accuracy.

Purpose of the Study:

• To develop and validate a hybrid algorithm for compensating imaging overexposure in flame tomography.
• To enhance the accuracy and quality of 3D flame structure reconstruction.

Main Methods:

• A hybrid algorithm combining weight correction and Tikhonov's regularization was proposed.
• Numerical simulations were used for quantitative performance evaluation.
• An experimental system with 12 cameras was employed to reconstruct axisymmetric and nonaxisymmetric flames.

Main Results:

• The hybrid algorithm effectively estimates intensity in overexposed regions.
• Tikhonov's regularization improved the quality of reconstructed flame structures.
• The method demonstrated robust performance across different exposure settings and flame types.

Conclusions:

• The proposed hybrid algorithm significantly mitigates the impact of imaging overexposure on flame tomography.
• This technique enables more accurate and detailed 3D combustion structure analysis.