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基于低速预处理的风力机翼型外形优化设计
引用本文:王清,张敏,李德顺,李寿图.基于低速预处理的风力机翼型外形优化设计[J].太阳能学报,2022,43(5):351-358.
作者姓名:王清  张敏  李德顺  李寿图
作者单位:1.兰州理工大学能源与动力工程学院,兰州 730050; 2.甘肃省风力机工程技术研究中心,兰州 730050
基金项目:甘肃省高等学校创新能力提升项目(2019A-020); 直升机旋翼动力学重点实验室开放基金(JZX7Y201911SY004001)
摘    要:针对经典的S809翼型,耦合基于低速预处理的流场求解方法和序列二次规划方法,开展针对翼型升阻比的翼型气动外形优化设计研究。优化结果显示优化翼型具有较大的翼型前缘半径和较平坦的上表面。数值计算结果表明,优化翼型在设计点1的状态下升阻比提高43.3%,在设计点2的状态下升阻比提高48.9%。进一步数值验证表明,优化翼型在雷诺数为5.0×105状态下的最大升力系数从S809翼型的1.140增大到1.297,在雷诺数为1.0×106状态下的最大升力系数从1.236增大到1.418。在优化翼型的基础上,开展翼型气动外形人工修型研究,数值模拟表明修型翼型能更好地消除气流分离,从而进一步增大翼型升力系数、减小翼型阻力系数。

关 键 词:风力机  优化  翼型  低速预处理  
收稿时间:2020-05-16

AERODYNAMIC SHAPE OPTIMIZATION OF WIND TURBINE AIRFOIL BASED ON LOW SPEED PRECONDITIONING
Wang Qing,Zhang Min,Li Deshun,Li Shoutu.AERODYNAMIC SHAPE OPTIMIZATION OF WIND TURBINE AIRFOIL BASED ON LOW SPEED PRECONDITIONING[J].Acta Energiae Solaris Sinica,2022,43(5):351-358.
Authors:Wang Qing  Zhang Min  Li Deshun  Li Shoutu
Affiliation:1. College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China; 2. Wind Energy Technology Research Center of Gansu Province, Lanzhou 730050, China
Abstract:In this research, the airfoil aerodynamic shape optimization aiming to improve the lift-drag ratio is performed based on the S809 airfoil by employing the sequential quadratic programming method and low speed preconditioning method. The optimized airfoil has large leading edge radius and flat upper surface. The simulated results indicated that the lift-drag ratio is increased about 43.3% at design state 1, and increased about 48.9% at design state 2. Further numerical verifications indicate that the maximum lift coefficient is increased from 1.140 to 1.297 at Reynolds number of 5.0×105, and increased from 1.236 to 1.418 at Reynolds number of 1.0×106. Based on the optimized airfoil, a research of artificial modification is performed in this research to restrict the aerodynamic separation. The numerical results indicated that the modified airfoil has larger lift coefficient and smaller drag coefficient.
Keywords:wind turbines  optimization  airfoil  low speed preconditioning  
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