首页|基于多岛遗传算法的翼型多目标优化设计

基于多岛遗传算法的翼型多目标优化设计

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[目的]针对大型水平轴水轮机叶片运行工况复杂的问题,提出一种多目标优化算法.[方法]基于多岛遗传算法建立翼型优化模型,采用类形函数变换(CST)法对翼型进行参数化拟合,整个优化过程集成于Isight平台,实现自动优化.[结果]采用上述方法,选用NACA 63813/63815/63816 翼型作为初始翼型进行多目标优化,利用Fluent转捩模型对得到的翼型进行CFD数值验证,选择翼型攻角 5°时的升阻比、升力等为优化目标参数,得到优化后的翼型升力系数分别增大了 14%,15%,20%,升阻比分别增大了 14%,16%,28%.[结论]数值验证结果表明,优化后的翼型在多个工况点下的升阻比均高于同厚度原始翼型,在具有良好的水动力动性能的同时还提高了叶片的结构强度,相比于传统的翼型更适用于大型潮流能水平轴水轮机.
Multi-objective optimal design of airfoil based on multi-island genetic algorithm
[Objectives]A multi-objective optimization algorithm is proposed to address the problem of the complex operating conditions of large horizontal axis hydraulic turbine blades.[Methods]An airfoil optim-ization model is established based on the multi-island genetic algorithm,the airfoil is parametrically fitted us-ing the class shape function transformation(CST)function method,and the whole optimization process is in-tegrated on the Isight platform to achieve automatic optimization.[Results]Using the above method,NACA 63813/63815/63816 airfoils are selected as the initial airfoils for multi-objective optimization,CFD nu-merical validation is carried out on the obtained airfoils using the Fluent turning model,and the lift-to-drag ra-tios and lifting forces at the airfoil attack angle of 5° are selected as the optimization objectives,resulting in the optimized airfoils gaining increased lift coefficients of 14%,15%and 20%,and increased lift-to-drag ratios of 14%,16%and 28%,respectively.[Conclusions]Numerical validation shows that the lift-to-drag ratios of the optimized airfoil is higher than those of the original airfoils with the same thickness under several operat-ing conditions,and the structural strength of the blade is improved while ensuring good aerodynamic perform-ance,making it more suitable than conventional airfoils for large-scale tidal current energy horizontal axis hydraulic turbines.

hydraulic turbinemulti-island genetic algorithmmulti-objective optimizationairfoilclass shape function transformation(CST)parametric approach

张之阳、刘旭、吴林艳、陈少华、刘葳兴、崔琳

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江苏海洋大学 海洋工程学院,江苏 连云港 222005

江苏海洋大学 马卡洛夫海洋工程学院,江苏 连云港 222005

国家海洋技术中心,天津 300112

水轮机 多岛遗传算法 多目标优化 翼型 类形函数变换参数化方法

国家自然科学基金国家自然科学基金连云港市重点研发计划连云港市"521工程"科研项目(第六期)

5210135652001138CG2224LYG06521202337

2024

10.19693/j.issn.1673-3185.03563

中国舰船研究
中国舰船研究设计中心

中国舰船研究

CSTPCD北大核心
影响因子：0.496
ISSN：1673-3185
年,卷(期)：2024.19(4)