脉冲吹气对无缝襟翼翼型气动性能的影响

只有采用足够小的能量输入,获取更大的空气动力收益后,主动流动控制才有可能在真实飞机上获得更广泛的应用。脉冲吹气比定常吹气所需能量更少,控制效果更好,在改善翼型气动性能上得到广泛的研究。数值模拟了脉冲频率、占空比、动量系数等参数对无缝襟翼翼型升阻特性的影响规律,研究表明,脉冲频率接近于涡脱落频率时增升效果最好,当脉冲频率小于涡脱落频率时,阻力增加,当脉冲频率为涡脱落频率2倍时,阻力减小最多;动量系数较小时,占空比越小,冲击效应越强,增升效果越好;动量系数小于临界动量系数时,脉冲吹气增升效果优于定常吹气,当动量系数大于临界动量系数时,脉冲吹气控制效果低于定常吹气。研究脉冲吹气参数对翼型性能的影响规律,对采用周期性激励增升减阻、舵面增效的飞行器设计具有一定参考意义。     

基于响应面的翼型稳健设计研究

翼型的稳健设计就是要考虑环境中不确定因素的影响,提高翼型的性能,同时保证翼型性能对环境因素的变化不敏感的设计方法。本文应用响应面模型,通过减小翼型在不确定因素变化范围内阻力系数的均值和方差,构建了一个有效的翼型稳健设计的方法。应用本文的方法,选择马赫数作为不确定因素,假设马赫数在0.7~0.8间均匀分布,在满足升力约束条件下最小化阻力系数,结果证明本文的方法进行翼型的稳健设计是可行,高效的。     

多段翼型气动力优化设计的多标准高效进化算法

本文分别结合基因算法与博弈论中的竞争型Nash对策及分级型Stackelberg对策构造了多标准高效进化算法,并对二维三段翼型成功地进行了多标准位置增升优化。基因算法在合适地选择了基因操作算子后可以得到全局最优解,博弈论的引入使得传统基因算法具备了无人工干预的多标准优化算法,并且这一优化过程接近于实际翼型工程气动力设计情况。应用本文的方法成功地对三段翼型进行了不同气动条件下的缝翼与襟翼的位置组合优化,最后给出了优化算例,并对两种算法进行了对比。     

基于代理模型的气动设计稳健优化方法

为了减少不确定分析的计算量,提出了一种基于代理模型的不确定性气动设计优化方法,其中代理模型主要用于简化不确定分析计算过程.运用拉丁方试验设计和Krig-ing建立了代理模型,用随机参数来表示尺寸误差和飞行条件的变化.基于代理模型,以蒙特卡洛模拟法作为不确定分析方法,求解气动性能的均值和方差.在此基础上定义了气动稳健优化问题的表达式,用遗传算法进行求解,并以某翼型的优化问题对该方法进行验证.结果表明,通过该方法得到的最优解对不确定性的敏感度大大减小,同时在不确定的情况下仍然能满足设计约束条件.     

低雷诺数下小型无人机翼型气动特性分析

以小型无人机翼型研究为背景,利用基于线性稳定性理论的eN方法对对小型无人机常用的翼型CLARKY在雷诺数Re=1.0×10~5、5×10~5、1.0×10~6,迎角由-5°~20°时的气动性能进行了计算和对比分析。随着雷诺数的增大,翼型上表面的转捩位置不断向前缘移动,气流分离则由完全分离逐渐转变为层流分离泡结构,使得翼型的最大升力系数和临界迎角增大,阻力减小,最大升阻比显著增大,有利迎角逐渐减小,翼型CLARKY的气动特性逐渐得到改善。     

Optimization design of airfoils under atmospheric icing conditions for UAV

Natural ice accretion on the lifting surface of an aircraft is detrimental to its aerodynamic performance, as it changes the effective streamlined body. The main focus of this work considers the optimization design of airfoils under atmospheric icing conditions for the Unmanned Aerial Vehicle(UAV). The ice formation process is simulated by the Eulerian approach and the three-dimensional Myers model. A three-equation turbulence model is implemented to accurately predict the stall performance of t...     

Optimization of multi-element airfoil settings considering ice accretion effect

Almost half of all flight accidents caused by inflight icing occur at the approach and landing phases when high-lift devices are deployed. The present study focuses on the optimization of an ice-tolerant multi-element airfoil. Dual-objective optimization is carried out with critical horn-shaped ice accumulated during the holding phase. The optimization results show that the present optimization method significantly enhances the iced-state and clean-state performance. The optimal multi-element airfoil has a larger deflection angle and wider gap at the slat and the flap compared with the baseline configuration. The sensitivity of each design parameter is analyzed, which verifies the robustness of the design. The design is further assessed when ice is accreted during the approach and landing phases, which also shows performance improvement.     

基于柔顺机构的新型可变形机翼设计方法研究

机翼翼型变体技术可以根据任务和环境自适应地改变机翼形状、厚度、弯度等重要参数,使飞机在不同飞行状态下都能取得较理想的气动特性。柔顺机构是实现机翼蒙皮光滑变形的驱动装置,相比传统液压机构具备质量特性好的优势。采用鱼骨型柔性钢架与四连杆机构实现了机翼前缘上下蒙皮向内收缩、前缘形状由钝变尖的弹性变形过程。通过设计“撞块”机构实现驱动行程的有效分解,解决了前缘尖端开口处蒙皮回收与机翼变形控制所需的驱动行程不一致的内在矛盾。变形后翼型与目标翼型误差最大位置不超过4 mm,变形过程中结构最大应力小于材料许用应力值。相比传统采用纯液压机构驱动的变形机翼设计方案,该基于柔顺机构的变体机翼结构减质14.1%。     

Pressure distribution feature-oriented sampling for statistical analysis of supercritical airfoil aerodynamics

In the field of supercritical wing design, various principles and rules have been summarized through theoretical and experimental analyses. Compared with black-box relationships between geometry parameters and performances, quantitative physical laws about pressure distributions and performances are clearer and more beneficial to designers. With the advancement of computational fluid dynamics and computational intelligence, discovering new rules through statistical analysis on computers has beco...