摘要
首先探究了融合式翼梢小翼倾斜角、高度以及安装角对民用运输机气动特性的影响。然后基于多区域自由变形(FFD,free form deformation)技术、拉丁超立方取样方法(LHS,latin hypercube sampling)、Kriging代理模型以及改进的粒子群算法构建优化设计系统,对融合式翼梢小翼应用优化系统,通过对FFD控制体框架的合理布置,实现了多个控制框架对融合式翼梢小翼的自由变形参数化设计。优化设计结果表明,设计后的融合式翼梢小翼较原始构型减阻效果有明显改善。并通过与"翼尖延伸"、"涡扩散器"和"双叉弯刀"等3种翼尖装置进行调参对比分析,得出一些对翼尖装置设计具有参考价值的结论。
First we explore the influence on the aerodynamic characteristics of the tilt angle, height and angle of the installation of the blended winglet. Then, we build the optimization system with FFD technology, Latin hypercube sampling method, Kriging surrogate model and the improved particle swarm optimization algorithm. We apply this system to the blended winglet; through the appropriate arrangement of the FFD control body frame we achieve a framework for FFD parameterized design of multiple control winglets. Optimization results show that the drag of the designed blended winglets decrease obviously as compared with that of the original configuration. Compared with the parameter analysis of those three wingtip devices (“wingtip extension”, “eddy diffusion” and “double fork scimitar”), we draw some valuable conclusions for the design of wingtip devices.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2015年第4期533-539,共7页
Journal of Northwestern Polytechnical University
关键词
民用运输机
翼尖装置
FFD
技术
粒子群算法
KRIGING
代理模型
boundary conditions, computational fluid dynamics, computer simulation, constrained optimization,deformation, design, drag coefficient, flow fields, Mach number, mesh generation, Navier Stokes equation, optimization, parameterization, particle swarm optimization(PSO) , Reynolds number, sampling
schematic diagrams
transport aircraft, turbulence models
FFD (Free Form Deformation),improved PSO, kriging surrogate model, wingtip device