航空学报 > 2014, Vol. 35 Issue (11): 2910-2920   doi: 10.7527/S1000-6893.2014.0044

考虑螺旋桨滑流影响的机翼气动优化设计

徐家宽1, 白俊强1, 黄江涛2, 乔磊1, 董建鸿3, 雷武涛3   

  1. 1. 西北工业大学 航空学院, 陕西 西安 710072;
    2. 中国空气动力研究与发展中心, 四川 绵阳 621000;
    3. 中国航空工业第一飞机设计研究院, 陕西 西安 710089
  • 收稿日期:2013-12-09 修回日期:2014-04-08 出版日期:2014-11-25 发布日期:2014-05-01
  • 通讯作者: 白俊强,Tel.: 029-88492694 E-mail: junqiang@nwpu.edu.cn E-mail:junqiang@nwpu.edu.cn
  • 作者简介:徐家宽 男, 博士研究生. 主要研究方向:飞行器气动设计, 计算流体力学. Tel: 029-88492694 E-mail: xujiakuanbond@163.com; 白俊强 男, 博士, 教授, 博士生导师.主要研究方向: 飞行器总体设计, 飞行力学, 计算流体力学. Tel: 029-88492694 E-mail: junqiang@nwpu.edu.cn; 黄江涛 男, 博士.主要研究方向: 飞行器总体及气动设计, 气动弹性力学, 计算流体力学. E-mail: hjtcfy@163.com; 乔磊 男, 博士研究生.主要研究方向: 飞行器气动设计, 计算流体力学. E-mail: qiaol618@163.com; 董建鸿 男, 硕士, 研究员.主要研究方向: 飞行器总体及气动设计. E-mail: djjhhh@sina.com; 雷武涛 男, 硕士, 研究员.主要研究方向: 飞行器总体及气动设计. E-mail: lwt3334@163.com
  • 基金资助:

    工信部重大专项(MODERN ARK700型涡桨支线飞机)

Aerodynamic Optimization Design of Wing Under the Interaction of Propeller Slipstream

XU Jiakuan1, BAI Junqiang1, HUANG Jiangtao2, QIAO Lei1, DONG Jianhong3, LEI Wutao3   

  1. 1. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China;
    2. China Aerodynamics Research and Development Center, Mianyang 621000, China;
    3. AVIC Xi'an Aircraft Research Institute, Xi'an 710089, China
  • Received:2013-12-09 Revised:2014-04-08 Online:2014-11-25 Published:2014-05-01
  • Supported by:

    MIIT Special Item (MODERN ARK700 Turboprop Regional Aircraft)

摘要:

涡桨飞机的机翼、短舱等部件在滑流作用下周围的流场特性与无滑流状态下截然不同.所以,应该在涡桨飞机的机翼气动设计过程中考虑螺旋桨滑流的影响,从而使得机翼在真实飞行时滑流作用下表现出更好的气动特性.采用基于雷诺平均Navier-Stokes方程的多重参考坐标系(MRF)方法对螺旋桨滑流进行高精度准定常数值模拟,通过自由变形(FFD)技术实现螺旋桨飞机机翼的参数化构建,应用径向基函数(RBF)插值的动网格技术进行网格自动生成,获得样本机翼在滑流影响下的气动数据后,建立目标函数和状态函数的Kriging代理模型,结合随机权重粒子群优化(PSO)算法、Kriging代理模型和对应的EI(Expected Improvement)函数加点准则进行加样本点以及代理模型重建,从而建立滑流影响下机翼气动优化设计系统.使用该系统对某型螺旋桨飞机进行了滑流影响下的优化设计,结果表明,优化后的构型机翼和短舱在巡航状态下减阻达3.98 counts,升阻比提高了3.325%.因此,建立的考虑滑流影响下的机翼优化设计方法是可行的.

关键词: 滑流影响, 自由变形技术, 径向基函数, 多重参考坐标系, Kriging代理模型, 粒子群优化算法

Abstract:

The propeller slipstream effects usually create large difference to the flow field around wings, nacelles and other parts of turboprop aircraft compared with no slipstream effect. Thus, the slipstream effects should be taken into account in aerodynamic design of wings, leading to better aerodynamic characteristics under real flying condition which includes slipstream effects. Propeller slipstream is simulated using multiple reference frames (MRF) quasi-steady method based on Reynolds-averaged Navier-Stokes equations. Free form deformation (FFD) technology is used for parameterization of wings. A grid deformation method based on radial basis functions (RBF) interpolation is embedded in optimization for rapid grid regeneration. After the aerodynamic data of wing samples is obtained, a Kriging surrogate model is trained with these original samples and iteratively improved with EI (Expected Improvement) through optimization. Combining random weighted particle swarm optimization (PSO) algorithm with aforementioned methods, the optimization system is established. The optimization design result of a certain turboprop aircraft using this optimization system indicates that the wing and nacelle of the optimized configuration have a drag reduction of 3.98 counts and lift-drag ratio increase by 3.325% in cruising state. Therefore, the numerical method and the optimization system used are practical and valuable for wing design under slipstream effects.

Key words: slipstream interaction, free form deformation technique, radial basis function, multiple reference frame, Kriging surrogate model, particle swarm optimization algorithm

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