福州大学学报（自然科学版）2018，Vol.46Issue(3)：372-378,7.DOI:10.7631/issn.1000-2243.17072
一种超体积准则多目标遗传算法的螺旋桨叶片优化方法
An optimization method of propeller blade based on the hypervolume criterion multi-objective genetic algorithm
摘要
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%.关键词
超体积/遗传算法/螺旋桨/多目标Key words
hypervolume/genetic algorithm/propeller/multi-objective分类
机械制造引用本文复制引用
潘志榕,朱光宇,伊德景..一种超体积准则多目标遗传算法的螺旋桨叶片优化方法[J].福州大学学报（自然科学版）,2018,46(3):372-378,7.基金项目
福建省科技厅科技计划重点资助项目(2016H0015) （2016H0015）
