Fan blade optimization design method based on Wilson model and particle swarm optimization

The invention provides a fan blade optimization design method based on a Wilson model and a particle swarm optimization algorithm, and the method comprises the steps: determining a to-be-optimized blade design parameter, and building an initial blade model; the initial blade model is equally divided into a preset number of blade elements in the spanwise direction, and the axial induction coefficient and the tangential induction coefficient of each airfoil are calculated through Wilson model iteration; respectively calculating the torsional angle and chord length of each airfoil according to the axial induction coefficient and the tangential induction coefficient of each airfoil; and taking the torsional angle and the chord length of each airfoil as input values of a particle swarm algorithm, and re-optimizing the torsional angle and the chord length of each airfoil simultaneously through the particle swarm algorithm. According to the method, the blade is subjected to joint optimization design through the Wils