Two-Dimensional Tomographic Simultaneous Multispecies Visualization—Part II: Reconstruction Accuracy

Author:

Häber ThomasORCID,Suntz Rainer,Bockhorn Henning

Abstract

Recently we demonstrated the simultaneous detection of the chemiluminescence of the radicals OH* (310 nm) and CH* (430 nm), as well as the thermal radiation of soot in laminar and turbulent methane/air diffusion flames. As expected, a strong spatial and temporal coupling of OH* and CH* in laminar and moderate turbulent flames was observed. Taking advantage of this coupling, multispecies tomography enables us to quantify the reconstruction quality completely independent of any phantom studies by simply utilizing the reconstructed distribution of both species. This is especially important in turbulent flames, where it is difficult to separate measurement noise from turbulent fluctuations. It is shown that reconstruction methods based on Tikhonov regularization should be preferred over the widely used algebraic reconstruction technique (ART) and multiplicative algebraic reconstruction techniques (MART), especially for high-speed imaging or generally in the limit of low signal-to-noise ratio.

Funder

Deutsche Forschungsgemeinschaft

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

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1. A TDLAS Tomographic Forecasting-and-Reconstructing Network for Predictive Temperature Imaging;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

2. Two-Step TDLAS Tomographic Reconstruction for Temperature Imaging;2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2022-05-16

3. A Survey for 3D Flame Chemiluminescence Tomography: Theory, Algorithms, and Applications;Frontiers in Photonics;2022-03-29

4. Review: Applications of infrared thermography for studying flows with participating media;Experimental Thermal and Fluid Science;2022-01

5. Sparse regularization-based reconstruction for 3D flame chemiluminescence tomography;Applied Optics;2021-01-11

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