复合材料螺旋桨结构多目标优化设计

Multi-objective Optimization of a Composite Material Propeller Structure

摘要:

在螺旋桨桨叶结构设计的工程实践中,减轻重量和增加扭转刚度是两个主要目标,而复合材料的应用增加了螺旋桨结构的可设计性。以某复合材料螺旋桨为例,基于有限元方法,以桨叶的复合材料铺层数量与铺层角度为优化设计变量,以螺旋桨桨叶强度、弯曲刚度为约束条件,采用快速非支配遗传算法(NSGA-II)对该复合材料螺旋桨进行多目标优化设计。得到了关于两个目标函数的帕累托解集,即综合考虑桨叶质量与扭转刚度两个指标的最优设计参数集。本文为复合材料螺旋桨的结构设计提供了一种有效的思路。

Abstract:

Reducing the weight and increasing the torsion stiffness are the two main pursuits in propeller blade structure design. And the application of composite materials has improved the designability of propeller structure. In this paper we present an optimization process on a composite propeller blade, in which the composite layup numbers and angles are optimization parameters, the strength and bending stiffness are optimization constraints and the weight and torsion stiffness are optimization objectives. Non-dominated Sorting Genetic Algorithm is adopted to get a Pareto front of the two objectives. Results show that the optimization method is effective.