In the present work, a model for Large-Eddy Simulation, or LES, was devised, which can accurately predict mixing processes by employing multiple, correlated mixture fractions. The input for the mixing models themselves are first and second order statistical moments of the distributions. Transport equations for these moments have been formulated, along with the models required for closure.
DNS and LES for a co-annular jet-in-crossflow configuration have been executed in order to assess the performance of the model. The quality indicator of the model performance is a reaction rate using an Arrhenius assumption. For the Reynolds numbers accessible by DNS, it is shown that the devised model predicts these reaction rates with high accuracy.
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In the present work, a model for Large-Eddy Simulation, or LES, was devised, which can accurately predict mixing processes by employing multiple, correlated mixture fractions. The input for the mixing models themselves are first and second order statistical moments of the distributions. Transport equations for these moments have been formulated, along with the models required for closure.
DNS and LES for a co-annular jet-in-crossflow configuration have been executed in order to assess the per...
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