TY - GEN
T1 - DNS-PDF simulation of turbulent mixing in a reactive planar jet
AU - Watanabe, Tomoaki
AU - Sakai, Yasuhiko
AU - Nagata, Kouji
AU - Ito, Yasumasa
AU - Terashima, Osamu
AU - Hayase, Toshiyuki
PY - 2013
Y1 - 2013
N2 - Probability density function (PDF) method is implemented in direct numerical simulation (DNS) to simulate turbulent reactive flows (DNS-PDF method). In the DNS-PDF method, a flow field and a non reactive scalar are predicted by the DNS, whereas reactive scalars are predicted by the Lagrangian PDF method, in which a transport equation of joint PDF of reactive scalars is solved by using a large number of notional particles. A mixing time scale for a mixing model used in the PDF method is directly estimated from the DNS result. In the present model for the mixing time scale, the effect of distance between notional particles is implicitly taken into account. The DNS-PDF method is applied to a planar jet with a second-order chemical reaction. The results show that the DNS-PDF method can accurately predict the rms value of mixture fraction fluctuation, and the present model for the mixing time scale is valid. It is also found that the DNS-PDF method can accurately predict mean concentrations of reactive species.
AB - Probability density function (PDF) method is implemented in direct numerical simulation (DNS) to simulate turbulent reactive flows (DNS-PDF method). In the DNS-PDF method, a flow field and a non reactive scalar are predicted by the DNS, whereas reactive scalars are predicted by the Lagrangian PDF method, in which a transport equation of joint PDF of reactive scalars is solved by using a large number of notional particles. A mixing time scale for a mixing model used in the PDF method is directly estimated from the DNS result. In the present model for the mixing time scale, the effect of distance between notional particles is implicitly taken into account. The DNS-PDF method is applied to a planar jet with a second-order chemical reaction. The results show that the DNS-PDF method can accurately predict the rms value of mixture fraction fluctuation, and the present model for the mixing time scale is valid. It is also found that the DNS-PDF method can accurately predict mean concentrations of reactive species.
KW - Chemical reaction
KW - Mixing
KW - Numerical simulation
KW - Turbulent flow
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U2 - 10.1007/978-3-642-45037-2_49
DO - 10.1007/978-3-642-45037-2_49
M3 - Conference contribution
AN - SCOPUS:84893873664
SN - 9783642450365
T3 - Communications in Computer and Information Science
SP - 445
EP - 452
BT - AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings
PB - Springer Verlag
T2 - 13th International Conference on Systems Simulation, AsiaSim 2013
Y2 - 6 November 2013 through 8 November 2013
ER -