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Flapping-wing Micro Air Vehicles (MAVs) imitate the aerodynamic mechanisms of insects, offering superior energy efficiency and maneuverability for confined space operations. However, their aerodynamic performance is highly sensitive to the interplay between wing kinematics and geometry. Existing research primarily focuses on single-aspect optimizations, often leading to limited applicability. This work introduces an experimental optimization framework for flapping-wing MAVs based on a symmetric double-crank and double-rocker mechanism. We systematically investigate the effect of multi-dimensional parameters under the clap-and-fling mechanism, including leading edge length, stiffener design, and flapping angles. Experimental evaluations reveal that the optimized configuration achieves a peak cycle-averaged lift coefficient of 2.54 and power loading above 8 g/W, demonstrating the effectiveness of the multi-parameter strategy in improving aerodynamic performance.

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Experimental Optimization of Clap-and-Fling Wing Stroke Kinematics and Geometry Configuration

  • 会议论文

  • 发表日期：

    2026年

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  • Wenjie Dai,
  • Yuhan Liu,
  • Xuan Wang

摘要

Flapping-wing Micro Air Vehicles (MAVs) imitate the aerodynamic mechanisms of insects, offering superior energy efficiency and maneuverability for confined space operations. However, their aerodynamic performance is highly sensitive to the interplay between wing kinematics and geometry. Existing research primarily focuses on single-aspect optimizations, often leading to limited applicability. This work introduces an experimental optimization framework for flapping-wing MAVs based on a symmetric double-crank and double-rocker mechanism. We systematically investigate the effect of multi-dimensional parameters under the clap-and-fling mechanism, including leading edge length, stiffener design, and flapping angles. Experimental evaluations reveal that the optimized configuration achieves a peak cycle-averaged lift coefficient of 2.54 and power loading above 8 g/W, demonstrating the effectiveness of the multi-parameter strategy in improving aerodynamic performance.