基于递进分步优化的仿生翼栅设计及气动特性
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郑州航空工业管理学院 航空宇航学院

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V211; V221

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国家自然科学基金(12302027);河南省科技攻关计划(242102220052,252102221027,262102211042)。


Bionic Wing Grid Design and Aerodynamic Performance via Progressive Stepwise Optimization
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School of Aerospace,Zhengzhou University of Aeronautics

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    摘要:

    针对低雷诺数飞行时诱导阻力占比高、传统翼尖减阻装置多个状态飞行适应性差、大迎角气动性能不足的问题,以苍鹰、金雕等大型翱翔鸟类初级飞羽开缝结构为仿生原型,设计了一款仿生翼身融合无人机,采用递进式分步优化方法提出了大幅增升减阻的仿生翼栅布局方案和参数设计方法。基于N-S方程和k-ω-SST湍流模型计算了翼栅小翼数量、展弦比、空间排布、几何形态及弯度对升阻特性的影响,结合压力云图、速度流线与涡量分布研究了仿生翼栅的流场作用机理。研究结果表明:提出的仿生翼栅设计方案可同时在2~16°范围迎角实现较大的增升减阻效果,与基础模型相比,巡航迎角升力系数提高5.08%、阻力系数减小5.87%,升阻比提升11.64%,平均升阻比提升10.78%;仿生翼栅可将集中式大尺度翼尖涡拆解为多段离散弱涡核,削弱翼尖涡强度、降低诱导阻力并延缓大迎角流动分离;经翼栅-机翼融合优化后,巡航状态阻力系数进一步降低1.39%,升阻比再提升1.78%,翼梢连接处流场连续性改善。研究成果可为小型低雷诺数无人机翼尖减阻装置的优化设计提供理论支撑与工程参考。

    Abstract:

    In order to solve the problems of high induced drag ratio during low Reynolds number flight, poor flight adaptability of conventional wingtip drag-reduction devices at multi-state, and insufficient aerodynamic performance at high angles of attack, a bionic blended-wing-body UAV was designed taking the slotted primary feather structure of large soaring birds such as goshawks and golden eagles as the bionic prototype. A new bionic wing grid layout and parameter design method which could significant enhance lift and reduce drag was proposed according to the progressive stepwise optimization method. Based on the N-S equations and k-ω SST turbulence model, the effects of the number of grid winglets, aspect ratio, spatial arrangement, geometric shape and camber on the lift-drag characteristics were calculated. The flow field influence mechanism of the bionic wing grid was investigated by combining pressure nephograms, velocity streamlines and vorticity distributions. The research results show that the proposed bionic wing grid design scheme can achieve significant lift enhancement and drag reduction effects simultaneously in the angle of attack range of 2~16°. Compared with the baseline model, the lift coefficient at cruise angle of attack is increased by 5.08%, the drag coefficient is decreased by 5.87%, the lift-to-drag ratio is increased by 11.64%, and the average lift-to-drag ratio is increased by 10.78%. The bionic wing grid can decompose the concentrated large-scale wingtip vortex into multiple discrete weak vortex cores, thereby weakening the wingtip vortex intensity, reducing induced drag and delaying flow separation at high angles of attack. After the wing grid-wing integration optimization, the drag coefficient under cruise condition is further reduced by 1.39%, the lift-to-drag ratio is increased by another 1.78%, and the flow field continuity at the wingtip junction is improved. The research results can provide theoretical support and engineering reference for the optimization design of wingtip drag-reduction devices for small low-Reynolds-number UAVs.

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刘战合,张龙宇,李隆隆,等. 基于递进分步优化的仿生翼栅设计及气动特性[J]. 科学技术与工程, , ():

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  • 收稿日期:2026-05-25
  • 最后修改日期:2026-08-27
  • 录用日期:2026-09-13
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