Three-dimensional flame chemiluminescence tomography reconstruction based on outer contour pre-reconstruction

被引：0
作者：
Zhou, Yi [1 ]
Chen, Guoqing [2 ]
Xu, Chuanlong [1 ]
机构：
[1] National Engineering Research Center of Power Generation Control and Safety, School of Energy and Environment, Southeast University, Nanjing
[2] State Key Laboratory of Low-Carbon Smart Coal-fired Power Generation and Ultral-clean Emission, China Energy Science and Technology Research Institute Co., Ltd, Nanjing
来源：
Optics and Lasers in Engineering | 2024年 / 183卷
基金：
中国国家自然科学基金;
关键词：
Algorithm; Combustion; Computed tomography of chemiluminescence; Flame structure; Three-dimensional reconstruction;
D O I：
10.1016/j.optlaseng.2024.108549
中图分类号：
学科分类号：
摘要：
The computed tomography of chemiluminescence (CTC) can be used to reconstruct a three-dimensional (3D) flame chemiluminescence field to obtain information about the spatial characteristics of the flame. However, additional information is needed to solve the ill-posed inverse problem of the CTC due to the constraints such as economy of CTC system and the number of views. In this study, a PR-SART algorithm is proposed for 3D flame reconstruction by combining the flame outer contour pre-reconstruction model with the simultaneous algebraic reconstruction technique (SART). The influence of the number of pre-reconstruction iterations is analyzed in numerical studies. The reconstruction performance of the SART algorithm is compared with the PR-SART algorithm for two flame structures under various numbers of views and noise conditions. Finally, an OH* chemiluminescence imaging system consisting of 8 ultraviolet (UV) cameras is developed, and evaluated through use of reconstructing the 3D structure of low-swirl flames. Numerical and experimental studies indicate that the proposed algorithm and CTC system are effectively capable of removing the reconstruction error in the flame-free region, improving the reconstruction quality, and reducing the computational cost. © 2024
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