Numerical simulation of reactive planar jet by combining the probability density function method with direct numerical simulation

Tomoaki Watanabe, Yasuhiko Sakai, Kouji Nagata, Osamu Terashima, Yasumasa Ito, Toshiyuki Hayase

Research output: Contribution to journalArticlepeer-review

Abstract

Direct numerical simulation (DNS) is combined with probability density function (PDF) methods to simulate turbulent reactive flows. DNS is performed to predict an instantaneous velocity field and an instantaneous mixture fraction, whereas reactive scalars are predicted by the PDF method, in which a transport equation of joint PDF of reactive scalars is solved by using a large number of particles. We develop a new model for a mixing timescale of mixing model, which is used in the PDF method. In the present model, the mixing timescale is estimated from the mixture fraction predicted by the DNS. The numerical simulation based on the DNS and the PDF method is applied to a reactive planar jet. The results show that the PDF method can accurately predict the statistics of mixture fraction, and the present model for the mixing timescale can implicitly take into account the effect of distance between two particles without adjusting any model parameters. It is also found that the PDF method can accurately predict the statistics of reactive scalars.

Original languageEnglish
Pages (from-to)2434-2445
Number of pages12
JournalNihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Volume79
Issue number807
DOIs
Publication statusPublished - 2013

Keywords

  • Chemical reaction
  • Jet
  • Numerical simulation
  • Probability density function method
  • Turbulent mixing

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanical Engineering

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