Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging

Hossain, Md Moinul and Lu, Gang and Yan, Yong (2014) Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging. In: 2014 IEEE International Conference on Imaging Systems and Techniques (IST), 2014-10-14 - 2014-10-17, Santorini Island. (https://doi.org/10.1109/IST.2014.6958517)

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Abstract

This paper presents the 3-D (three-dimensional) reconstruction of soot volume fraction of diffusion flames based on tomographic imaging and image processing techniques. Eight flexible imaging fiber bundles and two RGB (Red, Green and Blue) CCD (Charge-coupled Device) cameras are used to obtain concurrently the 2-D (two-dimensional) image projections of the flame from eight different angles of view around the burner. Algorithms which combine the tomographic and two-color pyrometric techniques are utilized to reconstruct the soot volume fraction distributions on both cross- and longitudinal-sections of the flame. A series of experiments were carried out on a gas-fired combustion rig for the determination of soot volume fraction using the algorithms proposed. Test results demonstrate the effectiveness of the developed algorithms.

ORCID iDs

Hossain, Md Moinul ORCID logoORCID: https://orcid.org/0000-0003-4184-2397, Lu, Gang and Yan, Yong;
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