采用鲸鱼算法的可控扩散叶型优化设计  

Optimal Design of a Controlled Diffusion Airfoil with the Whale Algorithm

作　　者：黄松 阳诚武[1,2] 韩戈 赵胜丰[1,2] 王名扬[1,2] 卢新根 HUANG Song;YANG Chengwu;HAN Ge;ZHAO Shengfeng;WANG Mingyang;LU Xingen(Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院工程热物理研究所,北京100190 [2]中国科学院大学,北京100049

出　　处：《西安交通大学学报》2020年第3期49-57,共9页Journal of Xi'an Jiaotong University

基　　金：国家自然科学基金资助项目（51606187,51706223）

摘　　要：为提升可控扩散叶型MANGHH在高空低雷诺数条件下的气动性能,建立了一套结合类别形状函数变换方法、S1流面求解程序、鲸鱼优化算法的优化设计系统,具有参数较少、易于实现、求解快速等优势。经单峰函数和多峰函数测试表明,鲸鱼优化算法的寻优能力明显高于粒子群优化算法和引力搜索算法。研究表明:与初始叶型相比,优化叶型在-4°、0°、6°攻角下总压损失分别降低了55.9%、16.1%、16.3%;在不同的攻角下,优化叶型吸力面的载荷峰值前移,减缓了边界层位移厚度的增长速率,削弱了尾缘附近的流动分离,并且随着来流马赫数的增大,优化叶型的总压损失减小幅度增大;随着来流湍流度的增大,初始叶型的总压损失先减小后增大,优化叶型的总压损失由于湍流耗散能力增强而增大,但总压损失始终低于初始叶型,气动性能显著提升。To improve the aerodynamic performance of a controlled diffusion airfoil(CDA)MANGHH in high altitude and low Reynolds number conditions,an optimally designed system combining the class-shape-transformation method,the S1 surface flow solver and the whale optimization algorithm was established,which has the advantages of fewer parameters,easy implementation and quick solution.The tests of a unimodal function and a multimodal function show that the whale optimization algorithm has better optimum solution-searching ability than the particle swarm optimization algorithm and the gravity search algorithm.The study shows that the total pressure losses of the optimal cascade at angles of attack of-4°,0°and 6°were decreased by 55.9%,16.1% and 16.3%,respectively,compared with that of the original CDA.At different attack angles,the optimal cascade moves the peak value of the blade load forward,reducing the growth rate of boundary layer thickness,and eliminating the flow separation near the trailing edge.Compared with the original CDA,as inlet Mach number increases,the reduction of total pressure loss of the optimal cascade increases.Under different incoming turbulence intensities,the total pressure loss of the optimal cascade is always lower than that of the original CDA.As incoming turbulence intensity increases,the total pressure loss of the original CDA decreases first and then increases.However,the total pressure loss of the optimal cascade increases with the incoming turbulence intensity due to the improvement of turbulence dissipation capacity,and hence the aerodynamic performance of the optimal cascade improves significantly.

关 键 词：低雷诺数 可控扩散叶型 鲸鱼优化算法 湍流度 总压损失 

分 类 号：V231.3[航空宇航科学与技术—航空宇航推进理论与工程]