文章摘要
引用本文:
基于超体积准则多目标遗传算法的螺旋桨叶片优化研究
Optimization of propeller based on multi objective genetic algorithm
投稿时间:2017-03-07  修订日期:2017-05-16
DOI:
中文关键词: 超体积  遗传算法  螺旋桨,多目标
英文关键词: hypervolume  genetic algorithm  propeller  multiobjective
基金项目:福建省科技厅科技计划重点项目(2016H0015)
作者单位E-mail
潘志榕 福州大学机械工程及其自动化学院 958191747@qq.com 
朱光宇 福州大学机械工程及其自动化学院 zhugy@fzu.edu.cn 
伊德景 福州大学机械工程及其自动化学院  
摘要点击次数: 92
全文下载次数: 85
中文摘要:
      为了改善螺旋桨叶片敞水效率,用结合超体积准则的多目标遗传算法优化螺旋桨桨型设计,优化过程中,桨叶形状用B样条曲线拟合,利用面元法建立桨型性能模型。将计算螺旋桨升力和阻力转化为三个优化目标:降低阻升比、桨型面积差和压力方差。利用所述方法,得到了优化后的螺旋桨剖面形状,并将优化前后的螺旋桨进行流体分析,计算结果表明,优化后的桨型在面积差变化较小的情况下三个目标有明显改进,螺旋桨水动力性能达到预期的目标,敞水效率提升12%。优化结果表明超体积准则结合多目标遗传算法进行螺旋桨叶片优化是有效的。
英文摘要:
      In order to solve the problem of propeller open water efficiency, optimize the propeller type design with hypervolume criterion multi-objective genetic algorithm, the optimization process, B-Spline Curve fitting model fitting the blade shape, leaf type performance by using 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 variance. By using the method, the propeller profile after optimization, and the optimization of propeller before and after fluid analysis, the calculation results show that the optimized impeller type three targets have been improved obviously, the hydrodynamic performance of the propeller to reach the anticipated goal, open water efficiency of 12%. Optimization results show that the optimization of propeller blade is effective by using the hyper volume criterion and multi-objective genetic algorithm.
View Fulltext   查看/发表评论  下载PDF阅读器
关闭