Optimization design of hypersonic inlets using genetic algorithm based on a parabolized Navier-Stokes flow solver

The single and multi-objective optimization designs of a 2D inlet are carried out on cruise operation point (Ma = 7.0) by Genetic Algorithm (GA), and multi-objective GAs, including NCGA and NSGA-II. In these optimization design processes, the inlet flowfields are calculated with the space-marching CFD algorithm, i.e. SSPNS (Single-Sweep Parabolized Navier-Stokes Algorithm) which had been validated soundly previously. The single objective optimization reached the maximum pressure recovery design. Multi-objective optimization results reveal the tradeoffs of pressure recovery, static pressure rise, and drag coefficients of the inlet. Based on the multi-objective design process, a two-point design and a design point choosing process are also investigated. Results show if design point is set at cruise point, the off-design mass capture coefficients is relatively low; whereas if the design Mach number is set to 6.5, the 2D inlet will get good overall operation performances along the constant dynamic pressure trajectory.