Investigation of eddy diffusivity in a reactive plane jet by using direct numerical simulation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Eddy diffusivity in a planar turbulent jet with a second-order chemical reaction (A+B→R) is investigated by using direct numerical simulation. Reactant A and B are premixed into the jet flow and the main flow, respectively. The eddy diffusivity of species A on the jet centerline is calculated from the mean concentration of species A and the streamwise turbulent mass flux of the species A. The results show that the chemical reaction makes the eddy diffusivity of species A small, and the effects of the chemical reaction on the eddy diffusivity depend on the Damköhler number. From these results, we can conclude that the gradient diffusion model should be used with considerations of the effects of chemical reactions on eddy diffusivity.

Original languageEnglish
Title of host publicationAsiaSim 2012 - Asia Simulation Conference 2012, Proceedings
Pages144-150
Number of pages7
EditionPART 1
DOIs
Publication statusPublished - 2012 Nov 8
EventAsia Simulation Conference, AsiaSim 2012 - Shanghai, China
Duration: 2012 Oct 272012 Oct 30

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume323 CCIS
ISSN (Print)1865-0929

Other

OtherAsia Simulation Conference, AsiaSim 2012
CountryChina
CityShanghai
Period12/10/2712/10/30

Keywords

  • Chemical Reaction
  • Direct Numerical Simulation
  • Eddy Diffusivity
  • Turbulent Flow

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Watanabe, T., Sakai, Y., Nagata, K., Terashima, O., Ito, Y., Suzuki, H., & Hayase, T. (2012). Investigation of eddy diffusivity in a reactive plane jet by using direct numerical simulation. In AsiaSim 2012 - Asia Simulation Conference 2012, Proceedings (PART 1 ed., pp. 144-150). (Communications in Computer and Information Science; Vol. 323 CCIS, No. PART 1). https://doi.org/10.1007/978-3-642-34384-1_18