基于儒可夫斯基变换的潮流能水轮机翼型设计

王世明; 汪毓莹; 喻卓轩; 赵秀玲

doi:10.19912/j.0254-0096.tynxb.2024-0950

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (10) : 23-29. DOI: 10.19912/j.0254-0096.tynxb.2024-0950

基于儒可夫斯基变换的潮流能水轮机翼型设计

王世明¹, 汪毓莹¹, 喻卓轩¹, 赵秀玲²

作者信息 +

RESEARCH ON TIDAL STREAM TURBINE AIRFOIL DESIGN BASED ON JOUKOWSKI TRANSFORMATION

Wang Shiming¹, Wang Yuying¹, Yu Zhuoxuan¹, Zhao Xiuling²

Author information +

文章历史 +

摘要

针对低流速工况下小型潮流能水轮机翼型的快速设计问题,提出一种基于儒可夫斯基变换和高斯回归模型的水动力性能预测方法。选取儒可夫斯基翼型作为初始翼型,采用型函数/类函数变换（CST）的参数化方法对翼型外形进行拟合,并通过Fluent数值模拟得到低流速工况下的升力和阻力;基于升力、阻力和CST参数,结合机器学习中的高斯过程回归建立水动力性能预测模型。实验得出升力和阻力预测模型的平均误差率低于0.2%,均方根误差低于3%。研究表明,该方法在低流速工况水轮机翼型快速设计中具有显著的精度和效率优势。

Abstract

This paper presents a hydrodynamic performance prediction method based on Joukowski transformation and Gaussian process regression for rapid airfoil design of small-scale tidal stream turbines operating in low-velocity conditions. A set of Joukowski airfoils were selected as initial profiles and fitted using CST parameterization method. The lift and drag forces under low-velocity conditions were obtained through Fluent numerical simulation. A hydrodynamic performance prediction model was established by combining lift, drag, CST parameters with Gaussian process regression based on machine learning. Experimental results show that the average error rates of lift and drag prediction models are below 0.2%, with root mean square errors less than 3%.

导出引用

王世明, 汪毓莹, 喻卓轩, 赵秀玲. 基于儒可夫斯基变换的潮流能水轮机翼型设计[J]. 太阳能学报. 2025, 46(10): 23-29 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0950

Wang Shiming, Wang Yuying, Yu Zhuoxuan, Zhao Xiuling. RESEARCH ON TIDAL STREAM TURBINE AIRFOIL DESIGN BASED ON JOUKOWSKI TRANSFORMATION[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 23-29 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0950

中图分类号： TK730

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