标题： 仿生无人机旋翼用于降低气动声学噪声并提高效率 显示英文标题

标题： Bioinspired Drone Rotors for Reduced Aeroacoustic Noise and Improved Efficiency

摘要： 无人机（UAV）的应用在多个行业中迅速增长，同时对这些无人机的需求也在不断上升。 然而，无人机发出的噪音仍然是其广泛应用的重大障碍，尽管在产品配送等领域，它们比传统配送方式更环保。 大自然常常是高效且环保设备的灵感来源。 在当前的研究中，我们利用Seo等人之前的工作（Bioinsp. Biomimetics, 16 (4):046019, 2021）关于蚊子和果蝇扑翼飞行的气动声学，提出并检验了一种简化策略，以减少无人机旋翼的气动声学噪音。 特别是，受这些昆虫的启发，我们探讨了增加旋翼的平面面积如何用于降低旋转速度和小型旋翼相关的气动声学噪音。 该研究采用尖锐界面浸入边界求解器进行流体模拟，气动声学声音通过Ffowcs Williams-Hawkings方程进行预测。 模拟结果表明，采用更大平面面积的旋翼这一简单策略不仅能够减少气动声学噪音，还能提高功率经济性。 显示英文摘要

摘要： The application of unmanned aerial vehicles (UAVs) is surging across several industries, paralleled by growing demand for these UAVs. However, the noise emitted by UAVs remains a significant impediment to their widespread use even though in areas such as product delivery, they can be more environmentally friendly than traditional delivery methods. Nature has often been a source of inspiration for devices that are efficient and eco-friendly. In the current study, we leverage the previous work by Seo et al. (Bioinsp. Biomimetics, 16 (4):046019, 2021) on the aeroacoustics of flapping wing flight in mosquitoes and fruit flies to propose and examine a simple strategy for reducing the aeroacoustic noise from drone rotors. In particular, inspired by these insects, we explore how an increase in the planform area of the rotor could be used to reduce the rotation rate and the associated aeroacoustic noise from small-scale rotors. The study employs a sharp-interface immersed boundary solver for the flow simulations and the aeroacoustic sound is predicted by the Ffowcs Williams-Hawkings equation. Simulations indicate that the simple strategy of employing rotors with larger planform areas could lead not just to reduced aeroacoustic noise but improved power economy as well.