Real-Fluid Modeling for Turbulent Mixing Processes of N-Dodecane Spray Jet Under Superciritical Pressure

Abstract

The multi-environment probability density function (MEPDF) approach using the real-fluid Equation of State (EoS) has been developed to numerically investigate the physical processes of the non-cryogenic n-dodecane fuel spray jet under the supercritical pressure. The MEPDF approach together with the conserved scalar formulation and the real-fluid library is utilized to account for the scalar fluctuation effects on the turbulent mixing processes of real fluids over the transcritical and supercritical spray conditions. To correctly predict the highly non-linear thermodynamic properties over a wide range of pressures and temperatures, this approach has adopted the RK-PR equations of state and dense-fluid correction models. In order to realistically and efficiently predict the supercritical spray jet with the strong anisotropic turbulence, the present study has adopted the RANS-based v2-f model and the LES-based turbulence model. Simulations are made for the “Spray-A” benchmark case in the Engine Combustion Network. Based on numerical results, the detailed discussions are also made for the prediction capability of RANS/LES based real-fluid approach as well as the essential features of the real-fluid n-dodecane jet under the supercritical pressure.