摘要
为了提升风电叶片气动效率,提出了一种基于Bezier曲线和弯度函数的翼型优化设计方法。以翼型弯度函数的Bezier拟合曲线控制点作为优化设计变量,采用遗传算法对翼型进行优化设计求解。将N ACA3320翼型作为初始翼型优化得到新的翼型,并利用Xfoil程序对翼型气动特性进行对比分析。结果表明:在5°~10°攻角范围内,优化翼型的气动性能比原始翼型有显著提升,特别是在攻角6°的条件下,优化翼型的升力系数提高了63.9%,升阻比提高了29.8%。该设计方法能够减少优化设计变量并提升翼型优化设计速度。
The optimization design method based on Bezier curve and bend function was presented to improve the operating efficiency of wind turbine blade.The control points of Bezier fitting curve of the airfoil bend function were taken as optimization variables,and the genetic algorithm was used to solve the optimization problem of the airfoil.The NACA3320 airfoil taken as the initial one was optimized to obtain a new airfoil.The aerodynamic characteristics of NACA3320 airfoil and the optimized airfoil were compared through Xfoil program.The results indicate that the aerodynamic performance of the optimized airfoil is significantly improved compared with that of the initial airfoil when the attack angle is in the range of 5°~10°.Especially under the condition of 6°attack angle,the lift coefficient of the optimized airfoil is increased by 63.9%,and the lift-to-drag ratio is increased by 29.8%.This design method can reduce the optimization design variables and increase the speed of airfoil optimization design.
作者
周鹏展
何振
王琦
张利
ZHOU Peng-zhan;HE Zhen;WANG Qi;ZHANG Li(School of Energy and Power Engineering,Changsha University of Science&Techonology,Changsha 410114,China)
出处
《长沙理工大学学报（自然科学版）》
CAS
2020年第3期90-94,共5页
Journal of Changsha University of Science and Technology:Natural Science
基金
可再生能源电力技术湖南省重点实验室开放基金资助项目(2016ZNDL007)。
