Uncertain optimum design of aerodynamic performance of fan with interval uncertainty

In view of the insufficient samples and information of engineering problem, an uncertain optimization design for aerodynamic performance of fan wing based on interval and robustness was studied. Based on the reliability index of interval variables, a robust optimization model was constructed on the basis of the mathematical model of Kriging approximate function, and the dual optimization method is used to solve the optimization problem in order to improve optimization efficiency. In order to improve the fitting precision of the leaf shape modeling, five polynomial methods were applied to establish the parameters of the airfoil model. The problem of insufficient sample data of fan blade parameters was solved effectively, and the results showed that the method could meet the requirement of accuracy of fan performance. A new approach was provided to fan aerodynamic performance optimization, the paper paved the way for the energy-saving emission reduction market.