Effects of Turbulence Model on Prediction of Hot-Gas Lateral Jet Interaction in a Supersonic Crossflow.

摘要

Computational fluid dynamic predictions of surface pressures resulting from lateral jet injection into a Mach 3 supersonic crossflow from a cone-cylinder-flare missile are compared with wind tunnel data. Predictions of a sonic, multispecies, hot-gas jet using real-gas methodology are compared with predictions of a cold-gas jet and a hot, nonreacting jet using the ideal-gas assumption. An evaluation of 9 turbulence models is performed to determine their ability to accurately predict the surface pressures due to the jet interaction flowfield resulting from the injection of the lateral jets into the Mach 3 crossflow. Predictions of axial and circumferential pressure profiles were found to be very dependent on turbulence models, with some models performing relatively poorly. Menter's Shear Stress Transport model gave very good predictions for the hot-gas and hot-air jets, while Menter's Baseline model provided the most accurate predictions for a cold-air jet. The study found that even with the observed variations in surface pressure, the aerodynamic forces and moments produced by the lateral jet interactions with the crossflow were much less sensitive to the turbulence model than were the surface pressure profiles. The ideal-gas hot-air jet was found to represent the multispecies, hot-gas jet reasonably well, making it a viable substitution for a real-gas solution under certain assumptions.