Airfoil profile optimization method based on genetic algorithm and numerical simulation

Abstract

The invention belongs to the related technical field of airfoil profile optimization, and discloses an airfoil profile optimization method based on a genetic algorithm and numerical simulation, and the method comprises the steps: carrying out the parametric description of an airfoil profile through a high-order Bezier curve of a molded line controlled by a plurality of control points; obtaining aplurality of airfoils and corresponding attack angles; obtaining target function values of the plurality of airfoils under the corresponding attack angles through numerical simulation; sorting the target function values by adopting a genetic algorithm, taking airfoils and attack angles corresponding to the target function values meeting a preset rule in the target function values as target airfoils and target attack angles, and selecting and crossing and / or mutating coordinates of control points corresponding to the target airfoils and the target attack angles to obtain an optimized airfoil set, and repeating numerical simulation and genetic algorithm processing on the optimized airfoil profile set until the target function value reaches the optimization termination condition. According tothe method, the airfoil profile and the attack angle with the optimal target function value can be obtained in a larger optimization range by combining a genetic algorithm and a numerical simulationtechnology.

Description

Technical field[0001]The present invention belongs to the technical field related to airfoil optimization, and more specifically, relates to an airfoil optimization method based on genetic algorithm and numerical simulation.Background technique[0002]Airfoil is one of the important geometric characteristics of structural components such as blades and wings. It is used in aircraft in the aerospace field, fans, water pumps and wind turbines in the energy field, and civilian equipment such as air conditioners and ventilating fans. With the continuous development of society and the continuous improvement of human needs, higher requirements are put forward for the performance of the airfoil.[0003]For airfoil optimization, the current more conventional optimization method is to first select a certain initial airfoil, use the airfoil profile parameterization method to parametrically describe it, select relevant parameters from it as optimization variables, and add them Constraint conditions...

AI Technical Summary

Problems solved by technology

These all limit the optimization space of the airfoil line to a certain extent, and then limit the optimal design of the airfoil.

Images