基于B样条与遗传算法的翼型优化实验研究  

Airfoil Optimization and Experimental Research Based on the B Spline and Genetic Algorithm

作　　者：孙召成 李增亮[1] 徐朝政 张琦 冯龙 SUN Zhao-Cheng;LI Zeng-Liang;XU Chao-Zheng;ZHANG Qi;FENG Long(College of Mechanical Electronic Engineering in China University of Petroleum,Qingdao 266580,China)

机构地区：[1]中国石油大学(华东)机电工程学院

出　　处：《工程热物理学报》2019年第12期2806-2814,共9页Journal of Engineering Thermophysics

基　　金：工业和信息化部高技术船舶科研(No.2014020024)

摘　　要：翼型升阻比和水轮机空化系数是水轮机叶片翼型的重要指标,以NACA63A-614翼型为研究对象,基于B样条曲线对翼型曲线进行参数化构造,得到拟合精度较高的翼型曲线。以升阻比和水轮机空化系数作为优化目标,利用多目标遗传算法和XFOIL软件展开多工况优化设计。对优化后的翼型与原始翼型在多攻角工况范围内进行动力学特性分析,同时将优化前后翼型建模并进行空化实验。分析实验结果表明,优化后的翼型其升阻比和空化性能均得到明显提升,从而验证了该方法的可行性与准确性。Lift-drag ratio and turbine cavitation coefficient are important indicators of turbine blade airfoil.With NACA63 A-614 airfoil as the research object,airfoil curve is parameterized based on the B spline curve,and an airfoil curve with higher fitting precision is obtained.With lift-drag ratio and turbine cavitation coefficient as the optimization objective,multi-objective genetic algorithm and XFOIL software are used to conduct the optimization design for multi-operation conditions.Dynamic characteristics of the optimized airfoil and the original airfoil in the range of multiple angles of attack are analyzed,while airfoil before and after the optimization is modeled and cavitation experiment is performed.The analysis of experimental results indicates that the lift-drag ratio and cavitation performance of the optimized airfoil are significantly improved,which verifies the feasibility and accuracy of the method.

关 键 词：水轮机 B样条曲线 升阻比 空化系数 多目标遗传算法 

分 类 号：TK73[交通运输工程—轮机工程]