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Modélisation et simulation numérique de la combustion en présence d’interactions flammes/auto-inflammation

Abstract : The present study is devoted to the modelling of turbulent reactive flows in cases where the temperature levels can lead to the self-ignition of the mixture. The proposed modelling strategy consists of treating separately the most important physical mechanisms : scalar mixing, flame propagation and self-ignition. Thus, simple methods derived from known models in non-premixed and premixed turbulent combustion(tabulation methods, presumed PDF) are used to represent the mixing mechanism of species and flame propagation. The most important development of this work concerns the method based on the use of a residence time to model the self-ignitionof the mixture. Since the direct comparison of the residence time with the self-ignition delay has no physical meaning as long as the composition and the temperature change before the self-ignition, a normalised residence time is introduced. This quantity can also be presented as the relative age of particles that age differently depending on the characteristics of the local mixture. The use of this normalised time also makes it possible to deal with the difficulty related to the boundary conditions of residence time. The proposed model is first used to simulate a non-premixed JHC(Jet-in-Hot-Coflow) turbulent flame in RANS with numerical computation softwareCode-Saturne(low Mach). This model is then validated by DNS calculations of 1D mixing layer subjected to self-ignition. Finally, preliminary numerical simulations of a recent experimental configuration available in the laboratory(Constant Volume Vessel) are carried out to evaluate the feasibility of extending the compressible LES model by using OpenFOAM.
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Submitted on : Monday, June 8, 2020 - 11:37:54 AM
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Xiaodong Wang. Modélisation et simulation numérique de la combustion en présence d’interactions flammes/auto-inflammation. Autre. ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers, 2020. Français. ⟨NNT : 2020ESMA0002⟩. ⟨tel-02860046⟩

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