An improved calculation model of weight coefficient for three-dimensional flame chemiluminescence tomography based on lens imaging theory

Ying Jin; Yang Song; Wenchao Wang; Yunjing Ji; Zhenhua Li; Anzhi He

doi:10.1117/12.2245406

4 November 2016 An improved calculation model of weight coefficient for three-dimensional flame chemiluminescence tomography based on lens imaging theory

Ying Jin, Yang Song, Wenchao Wang, Yunjing Ji, Zhenhua Li, Anzhi He

Author Affiliations +

Proceedings Volume 10026, Real-time Photonic Measurements, Data Management, and Processing II; 1002612 (2016) https://doi.org/10.1117/12.2245406
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

Flame tomography of chemiluminescence is a necessary combustion diagnostic technique that provides instantaneous 3D information on flame structure and excited species concentrations. However, in most research, the simplification of calculation model of weight coefficient based on lens imaging theory always causes information missing, which influences the result of further reconstructions. In this work, an improved calculation model is presented to determine the weight coefficient by the intersection areas of the blurry circle with the square pixels, which is more appropriate to the practical imaging process. The numerical simulation quantitatively evaluates the performance of the improved calculation method. Furthermore, a flame chemiluminescence tomography system consisting of 12 cameras was established to reconstruct 3D structure of instantaneous non-axisymmetric propane flame. Both numerical simulating estimations and experiments illustrate the feasibility of the improved calculation model in combustion diagnostic.

Citation Download Citation

Ying Jin, Yang Song, Wenchao Wang, Yunjing Ji, Zhenhua Li, and Anzhi He "An improved calculation model of weight coefficient for three-dimensional flame chemiluminescence tomography based on lens imaging theory", Proc. SPIE 10026, Real-time Photonic Measurements, Data Management, and Processing II, 1002612 (4 November 2016); https://doi.org/10.1117/12.2245406

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