Abstract
Building Lagrangian injectors from resolved primary atomization simulations. Application to jet in crossflow fuel injection
Highlights
Simulations of aeronautical combustion chambers require an accurate description of the liquid fuel dispersion which has a strong influence on the flame
Slip wall Wall law Results and discussion Resolved simulations of jet in crossflow atomization Jet in crossflow simulations performed with the Accurate Conservative Level-Set (ACLS)/Ghost-Fluid Method (GFM) methodology are validated with the experimental correlation for the trajectory of the jet’s windward side provided by [3]: z = 1.57q0.36 ln 1 + 3.81 x dinj dinj which depends on q and dinj
Its main advantages with respect to other Lagrangian injection models [18, 19] are its capability to perform full two-phase Lagrangian simulations without the need to resolve atomization once the spray state is known, allowing in the future to initialize reactive cases with evaporation and combustion; to use one numerical code for resolving atomization and another one for dispersed phase simulations; and to model the aerodynamic field in dispersed phase simulations caused by coherent liquid structures without the need of resolving atomization
Summary
Simulations of aeronautical combustion chambers require an accurate description of the liquid fuel dispersion which has a strong influence on the flame. In order to improve the modeling of fuel injection in complex aeronautical systems, a new methodology to build injectors for dispersed phase computations has been developed The aim of these injectors is to correctly reproduce the droplet size and velocity distributions in time and space and the impact of the liquid jet presence and its atomization on the gas flow, which may influence the spray dispersion. This latter is difficult as it requires to model the momentum exchanges between the carrier phase and the injected liquid fuel that undergoes atomization. The models are applied to the configuration and compared with existing experimental data
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