TY - JOUR

T1 - Numerical simulation of reactive planar jet by combining the probability density function method with direct numerical simulation

AU - Watanabe, Tomoaki

AU - Sakai, Yasuhiko

AU - Nagata, Kouji

AU - Terashima, Osamu

AU - Ito, Yasumasa

AU - Hayase, Toshiyuki

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Chemical reaction

KW - Jet

KW - Numerical simulation

KW - Probability density function method

KW - Turbulent mixing

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U2 - 10.1299/kikaib.79.2434

DO - 10.1299/kikaib.79.2434

M3 - Article

AN - SCOPUS:84891858074

SN - 0387-5016

VL - 79

SP - 2434

EP - 2445

JO - Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B

JF - Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B

IS - 807

ER -