Soot volume fraction profiling of asymmetric diffusion flames through tomographic imaging

Md Moinul Hossain, Gang Lu, Yong Yan

Research output: Contribution to conferencePaperpeer-review

2 Citations (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.
Original languageEnglish
Pages427 - 431
Number of pages5
DOIs
Publication statusPublished - 14 Oct 2014
Event2014 IEEE International Conference on Imaging Systems and Techniques (IST) - Santorini Island, Greece
Duration: 14 Oct 201417 Oct 2014

Conference

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

Keywords

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

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