Translated Title
An optimization method of propeller blade based on the hypervolume criterion multi-objective genetic algorithm
Translated Abstract
In order to improve the open water efficiency of the propeller, the propeller type is optimized with the hypervolume criterion multi-objective genetic algorithm. In the optimization process, the blade shape is curve fitted with B-spline, and the propeller type performance model is established with surface panel method. The lift and drag force of the propeller is transformed into three optimization objectives:reducing the drag lift ratio, the propeller area difference and the pressure vari-ance. With the proposed method, the propeller profile after optimization is obtained. Then the propeller before and after optimization are analyzed with fluid analyzing method. The calculation results indicate that the hyper volume criterion multi-objective genetic algorithm is effective in the propeller blade optimization, the three objectives of the optimized propeller type have been improved obviously, the hydrodynamic performance of the propeller reaches the anticipated goal, and the open water efficiency increases 12%.
Translated Keyword
genetic algorithm
hypervolume
multi-objective
propeller
Access Number
WF:perioarticalfzdxxb201803013