Study of the conditional covariance and variance equations for second order conditional moment closure

1999 ◽  
Vol 11 (9) ◽  
pp. 2679-2695 ◽  
Author(s):  
N. Swaminathan ◽  
R. W. Bilger
Keyword(s):  
Second Order ◽  
Moment Closure ◽  
Conditional Covariance ◽  
Conditional Moment ◽  
Conditional Moment Closure

Study on Conditional Statistics in Two-Dimensional Liquid Jet With the Second-Order Chemical Reaction

2011 ◽  
Author(s):  
Tomoaki Watanabe ◽  
Hiroki Yasuhara ◽  
Yasuhiko Sakai ◽  
Takashi Kubo ◽  
Kouji Nagata ◽  
...  
Keyword(s):  
Turbulent Flow ◽  
Chemical Reaction ◽  
Mixture Fraction ◽  
Spectroscopic Method ◽  
Second Order ◽  
Moment Closure ◽  
Liquid Jet ◽  
Two Dimensional ◽  
Conditional Moment ◽  
Conditional Moment Closure

It is important in engineering to elucidate the mechanism of a chemical reaction in turbulent flow. But there are still few studies on reacting turbulent flow in a liquid phase. In this study, the two-dimensional liquid jet with the second-order reaction (A+B←R) is investigated. The concentrations of the species R and the conserved scalar (which is the concentration of other species independent of the above chemical reaction) are measured simultaneously by the optical fiber probe based on light absorbtion spectroscopic method. The concentrations of species A and B are obtained from the conserved scalar theory. Regarding the velocity field, the streamwise velocity is measured by the hot-film anemometer. The moment closure methods are often used for the prediction of turbulent flow. But it is difficult to apply it to the reacting turbulent flow because of the high non-linearity of the reaction rate terms. It is commonly known that the values of concentrations depend strongly on the mixture fraction (which is a conserved scalar) defined as the normalized concentration of the species which is independent of reaction. Hence, Conditional moment closure (CMC) methods are useful for the prediction of the turbulent flow with chemical reactions. In this study, conditional scalar statistics are investigated by using the conditional moment closure methods and experimental data. It is shown that the conditional averages of concentration of reactant and product species approach the equilibrium limit (which correspond to the limiting case of the fast chemical reaction) in the downstream direction and the value of the conditional scalar (mixture fraction) dissipation decreases and its distribution varies in the downstream direction and comes to show the local minimum value near the point η = ξS (which is the stoichiometric value of the mixture fraction).

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