Two-line jointly optimized tomographic absorption spectroscopy for flame measurement with adaptive hybrid regularization
We present an improved tomographic absorption spectroscopy (TAS) for accurate reconstruction of temperature and H<sub>2</sub>O mole fraction distributions of the combustion field. The absorption lines at 7185.597 cm<sup>-1</sup> and 7444.352 cm<sup>-1</sup> of the H<sub>2</sub>O molecule are selected to recover temperature using two-line thermometry. By jointly solving the absorption coefficients of the selected two lines with an adaptive hybrid regularization approach, the proposed method effectively suppresses artifacts and local distortions caused by limited projections and measurement noise. The regularization framework dynamically balances the smoothness and gradient preservation in both individual absorption coefficient fields and their ratio. Numerical tests demonstrate that our proposed method outperforms the algebraic reconstruction technique (ART) and Tikhonov regularization algorithms, reducing reconstruction errors by approximately 50%. Experimental measurement was conducted on a laminar premixed McKenna CH<sub>4</sub>/air flame. The tomographic results showed good agreement with thermocouple measurements, demonstrating a mean deviation of 13.2 K in the core region, and successfully recovering the expected top-hat profile. This work advances the application of TAS in non-uniform combustion fields.
Authors
- Ruifeng Kan (ORCID: https://orcid.org/0000-0002-3812-5613)
- C. T. Chen
- Dingfeng Shi (ORCID: https://orcid.org/0009-0007-3631-3673)
- An Huang (ORCID: https://orcid.org/0000-0002-2174-8128)
- Sen Ai
- Kin-Pang Cheong (ORCID: https://orcid.org/0000-0002-7841-3767)
- Huihui Xia
- Zhenyu Xu (ORCID: https://orcid.org/0000-0002-6802-8443)
- Rantong Niu
- Z.H. Cong
Institutions
- Sichuan University (CN)
Publication Details
- Journal
- Optics Express
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1364/oe.566682
- Citations
- 2
- Primary Topic
- Spectroscopy and Laser Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.51
Funders
- National Natural Science Foundation of China
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- Natural Science Foundation of Sichuan Province
- National Key Research and Development Program of China