Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging

Md Moinul Hossain, Gang Lu, Yong Yan

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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.

Conference

Conference2014 IEEE International Conference on Imaging Systems and Techniques (IST)
CountryGreece
Period14/10/1417/10/14

Fingerprint

Soot
Volume fraction
Imaging techniques
CCD cameras
Fuel burners
Image processing
Gases
Color
Fibers
Experiments

Keywords

  • flame monitoring
  • imaging fiber
  • soot volume fraction
  • tomography
  • two-color pyrometry

Cite this

Hossain, M. M., Lu, G., & Yan, Y. (2014). Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging. 427 - 431. Paper presented at 2014 IEEE International Conference on Imaging Systems and Techniques (IST), Greece. https://doi.org/10.1109/IST.2014.6958517
Hossain, Md Moinul ; Lu, Gang ; Yan, Yong . / Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging. Paper presented at 2014 IEEE International Conference on Imaging Systems and Techniques (IST), Greece.5 p.
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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.",
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Hossain, MM, Lu, G & Yan, Y 2014, 'Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging' Paper presented at 2014 IEEE International Conference on Imaging Systems and Techniques (IST), Greece, 14/10/14 - 17/10/14, pp. 427 - 431. https://doi.org/10.1109/IST.2014.6958517

Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging. / Hossain, Md Moinul; Lu, Gang; Yan, Yong .

2014. 427 - 431 Paper presented at 2014 IEEE International Conference on Imaging Systems and Techniques (IST), Greece.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging

AU - Hossain, Md Moinul

AU - Lu, Gang

AU - Yan, Yong

PY - 2014/10/14

Y1 - 2014/10/14

N2 - 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.

AB - 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.

KW - flame monitoring

KW - imaging fiber

KW - soot volume fraction

KW - tomography

KW - two-color pyrometry

U2 - 10.1109/IST.2014.6958517

DO - 10.1109/IST.2014.6958517

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Hossain MM, Lu G, Yan Y. Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging. 2014. Paper presented at 2014 IEEE International Conference on Imaging Systems and Techniques (IST), Greece. https://doi.org/10.1109/IST.2014.6958517