Aerodynamic Design and Multi-Objective Optimization of an Adjustable Blade Axial-Flow Fan

In this paper, the adjustable blade axial-flow fan is taken as the research object, and the primary aerodynamic design of the fan is carried out by the cascade method. Numerical calculation method is used to verify the aerodynamic performance of the preliminary design fan. The paper uses surrogate model and optimization algorithm to optimize the rotor of the preliminary design fan with a single objective, based on which the multi-objective optimization of the variable operating performance of the stator is carried out. The optimization results show that the total pressure and total pressure efficiency of the fan are significantly improved, and the bend angle and lean of the blade can improve the load distribution of the rotor and enhance the work capacity of the rotor. The optimization results for the stator reveal that there is a strong connection between the rotor and stator, and that a reasonable stator stagger angle will improve the variable operating performance of the fan.