
Proceedings Paper
An improved calculation model of weight coefficient for three-dimensional flame chemiluminescence tomography based on lens imaging theoryFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper 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.
Paper Details
Date Published: 4 November 2016
PDF: 9 pages
Proc. SPIE 10026, Real-time Photonic Measurements, Data Management, and Processing II, 1002612 (4 November 2016); doi: 10.1117/12.2245406
Published in SPIE Proceedings Vol. 10026:
Real-time Photonic Measurements, Data Management, and Processing II
Ming Li; Bahram Jalali; Keisuke Goda; Kevin K. Tsia, Editor(s)
PDF: 9 pages
Proc. SPIE 10026, Real-time Photonic Measurements, Data Management, and Processing II, 1002612 (4 November 2016); doi: 10.1117/12.2245406
Show Author Affiliations
Ying Jin, Nanjing Univ. of Science and Technology (China)
Yang Song, Nanjing Univ. of Science and Technology (China)
Wenchao Wang, Nanjing Univ. of Science and Technology (China)
Yang Song, Nanjing Univ. of Science and Technology (China)
Wenchao Wang, Nanjing Univ. of Science and Technology (China)
Yunjing Ji, Nanjing Univ. of Science and Technology (China)
Zhenhua Li, Nanjing Univ. of Science and Technology (China)
Anzhi He, Nanjing Univ. of Science and Technology (China)
Zhenhua Li, Nanjing Univ. of Science and Technology (China)
Anzhi He, Nanjing Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 10026:
Real-time Photonic Measurements, Data Management, and Processing II
Ming Li; Bahram Jalali; Keisuke Goda; Kevin K. Tsia, Editor(s)
© SPIE. Terms of Use
