摘要: Modeling pressure gain combustion systems, in-particular rotating detonation engines (RDE), has been a growing area of interest in academia and industry for the last decade. The main application for RDEs is in rocket motors and ga... 展开 Modeling pressure gain combustion systems, in-particular rotating detonation engines (RDE), has been a growing area of interest in academia and industry for the last decade. The main application for RDEs is in rocket motors and gas-turbine combustors. Following this industry trend, there has been a push to expand the capabilities of the Ansys Fluent CFD solver, especially in its high-speed Density Based Navier-Stokes solver (DBNS), to improve the modeling and design of new RDE systems. High-fidelity CFD simulations can provide invaluable insights into the high-speed flow mixing and combustion processes in a typical RDE combustor. These CFD simulations require physical models that can predict physical phenomena such as compressibility, turbulence, and chemical non-equilibrium. Implementing new enhancements towards chemical non-equilibrium (combustion) and turbulence combustion interaction models has been done to meet the requirement of predictive highspeed reactive flow simulations. The present work shows the validation of the newly implemented capabilities and physical model of Ansys Fluent for RDEs. The computational domain is based on the experiments from AFRL/NETL RDE, and the validation of CFD simulations is done with the experimental results. Three different mesh resolutions using Poly-Hexcore Mosaic mesh topology are evaluated, showing the performance of the RDE modeling. Additionally, the system demonstrates the computationally efficient modeling capabilities offered by the direct source chemistry solver with a global mechanism and various chemistry solvers using detailed chemistry kinetic mechanisms for higher fidelity combustion modeling. The validation cases presented here use the spectrum of turbulence models to validate RDE operating conditions by using realizable k-epsilon, k-omega Shear Stress Transport (SST), and Large Eddy Simulations (LES). 收起