缩放法则与手翼指数,并应用于翼车辆设计
Yonghong Guo1, Sicong Wang2, Song Chen2
1Beihang University School of Aeronautic Science and Engineering, Beijing, Beijing, Beijing, 100191, CHINA.
Bioinspiration & biomimetics
|January 15, 2026
概括
这项研究引入了手翼指数 (HWI),以更好地预测类似鸟类的飞翼飞行器 (BFAV) 翅膀跳动频率. 新的HWI-Mass-Area模型通过将翅膀形状与飞行策略联系起来来改进生物灵感设计.
科学领域:
- 生物力学 生物力学
- 空气动力学 航空动力学
- 生物启发工程 生物启发工程
背景情况:
- 类似鸟类的飞翼飞行器 (BFAV) 模仿鸟类飞行,提高机动性和效率.
- 现有的缩放模型不能充分反映翅膀形状的空气动力学影响.
研究的目的:
- 为了分析鸟类翅膀形态和动动力学之间的缩放关系.
- 开发一个改进的模型来预测BFAV中的翼拍频率.
主要方法:
- 整合多来源的鸟类形态数据集和翅膀跳动频率样本.
- 介绍手翼指数 (HWI) 作为翅膀形状描述器.
- 开发HWI-Mass-Area (HMA) 模型用于预测翼击频率.
主要成果:
- HWI有效地描述了翅膀形状,并与不同的飞行策略 (圆形,升空,升,高速) 相相关.
- 该HMA模型表现出比传统的全米模型更高的准确性和生物解释性.
- 使用HMA模型成功设计了一个0.3公斤的BFAV原型,具有升降式机翼.
结论:
- 该研究为BFAV设计建立了基于形态学的缩放框架.
- 该框架将鸟类生物力学与工程联系起来,为参数化BFAV开发提供了定量基础.
- 这些发现有助于更准确和生物相关的飞翼飞行器的设计.
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