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

为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降低阻升比、桨型面积差和压力方差三个优化目标,得到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.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.优化后的桨型在面积差变化较小的情况下三个目标均有明显改进,螺旋桨水动力性能达到预期目标,敞水效率提升12%.

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 variance. 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%.