論文

査読有り
2016年10月

Influence of Co-flow on Flickering Diffusion Flame

FLOW TURBULENCE AND COMBUSTION
  • N. Fujisawa
  • ,
  • Y. Matsumoto
  • ,
  • T. Yamagata

97
3
開始ページ
931
終了ページ
950
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10494-016-9730-9
出版者・発行元
SPRINGER

The influence of air co-flow on flickering methane diffusion flame was studied experimentally using the image processing technique and the proper orthogonal decomposition (POD) analysis. The flickering of the flame is characterized by the mean height, the oscillation amplitude and the Strouhal number, which are measured by the digital image analysis of the diffusion flame. The experiments are carried out for various combinations of burner diameters, fuel velocities and co-flow velocities. With increasing the velocity ratio of the co-flow to the fuel flow, the oscillation amplitude is decreased and the Strouhal number is increased slightly in proportional to the inverse Froude number, while the frequency jump occurs in the low co-flow velocity ratio. These results are commonly observed in all the burners of different diameters, while the critical co-flow velocity ratio to suppress the flickering is found to be increased with increasing the burner diameters due to the influence of Froude number. The POD analysis of the flickering flame shows that the flickering energy is dominant in the first two POD modes and they are axisymmetric except for the zero co-flow velocity case and fully suppressed case. The correlation of POD coefficients in the first two fluctuating POD modes suggests the suppression of large-scale structure of flickering due to the influence of co-flow.

リンク情報
DOI
https://doi.org/10.1007/s10494-016-9730-9
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000388171600013&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964318266&origin=inward
ID情報
  • DOI : 10.1007/s10494-016-9730-9
  • ISSN : 1386-6184
  • eISSN : 1573-1987
  • SCOPUS ID : 84964318266
  • Web of Science ID : WOS:000388171600013

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