中国舰船研究2024，Vol.19Issue(4)：148-155,8.DOI:10.19693/j.issn.1673-3185.03563
基于多岛遗传算法的翼型多目标优化设计
Multi-objective optimal design of airfoil based on multi-island genetic algorithm
摘要
Abstract
[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.关键词
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Key words
hydraulic turbine/multi-island genetic algorithm/multi-objective optimization/airfoil/class shape function transformation(CST)parametric approach分类
交通工程引用本文复制引用
张之阳,刘旭,吴林艳,陈少华,刘葳兴,崔琳..基于多岛遗传算法的翼型多目标优化设计[J].中国舰船研究,2024,19(4):148-155,8.基金项目
国家自然科学基金资助项目(52101356,52001138) （52101356,52001138）
连云港市重点研发计划资助项目(CG2224) （CG2224）
连云港市第六期"521工程"科研项目资助计划(LYG06521202337) （LYG06521202337）
