Flow, Turbulence and Combustion

, Volume 96, Issue 3, pp 819–835 | Cite as

3D-CT(Computer Tomography) Measurement of an Instantaneous Density Distribution of Turbulent Flames with a Multi-Directional Quantitative Schlieren Camera (Reconstructions of High-Speed Premixed Burner Flames with Different Flow Velocities)

  • Yojiro Ishino
  • Naoki Hayashi
  • Ili Fatimah Bt Abd Razak
  • Takahiro Kato
  • Yudai Kurimoto
  • Yu Saiki
Article

Abstract

In order to provide a suitable technique for 3D observation of high speed turbulent flames, non-scanning 3D-CT(Computer Tomography) technique using a multi-directional quantitative schlieren system with flash light source, is proposed for instantaneous density distribution of unsteady premixed flames. This “schlieren 3D-CT” is based on (i)simultaneous acquisition of flash-light schlieren images taken from numerous directions, and (ii) 3D-CT reconstruction of the images by an appropriate CT algorithm. In this paper, first, as a preliminary research, 3D-CT reconstruction of non-axisymmetric steady flame is made with a single-directional quantitative schlieren system. Next, with custom-made 20 directional schlieren camera, instantaneous density distributions of a high-speed turbulent flames of nozzle exit velocities of 8.0 and 10.0 m/s has been CT-reconstructed. The 3D-views of the reconstructed flame front shape clearly give the information of the flame structure with fine scale corrugations. Based on the distributions, area-enlargement rates of the flame front area are derived, and investigated.

Keywords

Schlieren observation Computer tomography Turbulent flame 3D measurement Premixed flame 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Saiki, Y., Tomida, Y., Shiga, S., Ishino, Y., Ohiwa, N.: Measurement of a Local Burning Velocity of a Turbulent Premixed Flame by Simultaneous 3D-CT Reconstruction with 40-Lens Camera and Stereoscopic PTV. Proceedings of 8th ETMM (2010)Google Scholar
  2. 2.
    Ishino, Y., Ohiwa, N.: Three-Dimensional Computerized Tomographic Reconstruction of Instantaneous Distribution of Chemiluminescence of a Turbulent Premixed Flame. JSME Int J B48(1), 34–40 (2005)CrossRefGoogle Scholar
  3. 3.
    Ishino, Y., Hirano, T., Hirano, M., Ohiwa, N.: Non-Scanning 3D-CT Visualizations of Premixed Flames with a 40-Lens Camera. Proceedings of The 6th Pacific Symposium on Flow Visualization and Image Processing A2–2, 1-6 (2007)Google Scholar
  4. 4.
    Ishino, Y., Okita, Y., Saiki, Y.: Mizokami, T.: 4D-CT Measurement of a Turbulent Premixed Flame by Simultaneous Multi-Directional High-Speed Photography with Multi-Mirror Optical Capture System. Proceedings of Int. Symp on EcoTopia Science’11 (2011)Google Scholar
  5. 5.
    Ishino, Y., Horimoto, K., Kato, T., Ishiguro, S., Saiki, Y.: Multi-Directional Quantitative Schlieren Observations for 3D-CT Reconstruction of Three-Dimensional Density Distribution of Steady Non-axisymmetric Premixed Flame. Proceedings of the 9th Asia-Pacific Conference on Combustion (2013)Google Scholar
  6. 6.
    Al-Ammar, K., Agrawal, A.K., Gollahalli, S.R., Griffin, D.: Application of rainbow schlieren deflectometry for concentration measurements in an axisymmetric helium jet. Exp. Fluids 25, 89–95 (1998)CrossRefGoogle Scholar
  7. 7.
    Kolhe, P.S., Agrawal, A.K.: Turbulence Measurements for Numerical Validation Acquired by Ultra High-speed Rainbow Schlieren Deflectometry. AIAA2014-0550, 1-11 (2014)Google Scholar
  8. 8.
    Mitchell, W.D., Ajay, K., Agrawal, A.K.: Investigation of acoustic waves emanated from a supersonic jet using ultra-high speed whole-field optical measurements. AIAA2014-1225, 1-18 (2014)Google Scholar
  9. 9.
    Ishida, Y., Miyazato, Y., Ono, D.: Rainbow schlieren measurements in underexpanded sonic jets from axisymmetric convergent nozzles. AIAA2012-0404, 1-9 (2012)Google Scholar
  10. 10.
    Upton, T.D., Verhoeven, D.D., Hudgins, D.E.: High Resolution Computed Tomography of a Turbulent Reacting Flow. Experiments in Fluids, Online First, 14 June (2010)Google Scholar
  11. 11.
    Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum-Likelihood from Incomplete Data via the EM Algorithm. J. R. Stat. Soc. B 39, 1–38 (1977)MathSciNetMATHGoogle Scholar
  12. 12.
    Yokoi, T., Shinohara, H., Hashimoto, T., Yamamoto, T., Niio, Y.: Implementation and performance evaluation of iterative reconstruction algorithms in SPECT: A simulation study using EGS4. Proceedings of The Second Int. Workshop on EGS, KEK Proceedings 200–20, 224-234 (2000)Google Scholar
  13. 13.
    Ishino, Y., Horimoto, K., Kato, T., Ishiguro, S., Saiki, Y.: 3D-CT Measurement of Premixed Flames Using a Multi-Directional Quantitative Schlieren Optical System (Solo-Measurement of Density and Combined- Measurement of Density and Light-Emission distributions). Procedia Eng. 67, 303–316 (2013)CrossRefGoogle Scholar
  14. 14.
    Zhao, J., Lua, Y., Jin, Y., Bai, E., Wang, G.: Feldkamp-type reconstruction algorithms for spiral cone-beam CT with variable pitch. J. Xray Sci. Technol. 15, 177–196 (2007)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Yojiro Ishino
    • 1
  • Naoki Hayashi
    • 1
  • Ili Fatimah Bt Abd Razak
    • 1
  • Takahiro Kato
    • 1
  • Yudai Kurimoto
    • 1
  • Yu Saiki
    • 1
  1. 1.Nagoya Institute of TechnologyGokiso-choNagoyaJapan

Personalised recommendations