轴流泵叶片多学科设计优化

在对水力性能和结构分别进行学科分析的基础上,通过2个学科的耦合关系,建立了轴流泵叶片多学科设计优化的数学模型。采用协同优化算法,实现了同时满足叶轮效率最高和叶片质量最轻的优化目标。优化结果表明,多学科设计优化提高了轴流泵叶片的综合性能,可有效兼顾高效、轻量化的要求。水泵叶片多学科设计优化模型的协同优化算法高效、可行。

Multidisciplinary Design Optimization of Axial-flow Pump Blades

The design and optimization of axial-flow pump blades usually takes the hydraulic design as the principle, then takes strength check into consideration. That cannot achieve the goal of integrated optimization. The mathematical model of axial flow blades of multidisciplinary design optimization was established on the basis of the subject analysis and the coupling relation between hydraulic and structure subject. The mathematical model could achieve the targets of the highest efficiency of impeller and the lightest weight of blades by using collaborative optimization algorithm. The study shows that multidisciplinary design optimization could improve the overall performance of axial flow blades, which also meet the requirements that the axial is efficient and lightweight. The collaborative optimization algorithm for axial flow blades model of multidisciplinary design optimization is efficient and feasible.