Toward real-time volumetric tomography for combustion diagnostics via dimension reduction

Area of Science:

• Combustion diagnostics
• Fluid dynamics
• Optical imaging

Background:

• Volumetric tomography advances combustion diagnostics by imaging turbulent flows.
• Understanding complex phenomena like lean blowout, acoustic oscillations, and soot formation is crucial.
• Current methods face high computational costs, limiting real-time applications.

Purpose of the Study:

• To develop a computationally efficient reconstruction method for volumetric tomography.
• To enable real-time reconstructions and online monitoring in combustion diagnostics.
• To reduce the computational burden of inversion problems in tomographic imaging.

Main Methods:

• A novel dimensionality reduction technique for tomographic reconstruction.
• Comparison with a classical iterative method using endoscopic computed tomography of chemiluminescence (CTC).
• Validation of the method's applicability to other volumetric tomography techniques like volumetric laser-induced fluorescence.

Main Results:

• The proposed method dramatically reduces computational time compared to classical approaches.
• Reconstruction accuracy is maintained at levels comparable to traditional methods.
• The technique is effective for endoscopic computed tomography of chemiluminescence.

Conclusions:

• The new reconstruction method offers a computationally efficient solution for volumetric tomography.
• This advancement facilitates real-time monitoring and analysis of turbulent combustion.
• The method has broad applicability across various volumetric tomography modalities.