Bio-inspired flow control studies under gust and turbulence effect for next-generation Urban Air Mobility aircraft.

该项目旨在利用飞行中的鸟类对湍流区域的自动反应。通过应用它们如何响应这些扰动，这些适应可以被实施到城市空中机动性（UAM）飞机，其在高度湍流区域的城市中运行。为了开始这个项目，我们首先需要了解鸟类，在我们的例子中，拍打翅膀的飞行者，对受控阵风的反应。通过使用由斯旺西研究生设计和生产的设备，测量阵风可以发送到Piggarden。所讨论的阵风是不稳定流的区域，它会人为地增加鸟的迎角。这将迫使鸟操纵回到稳定的，不加速的水平飞行。这种反应将使用动作捕捉软件以及慢动作视觉摄像机进行测量，所有这些都将以多种不同的组合进行收集，以捕捉扑翼飞行器用来纠正自己的机制。所有的数据都将进行后处理，特别是动作捕捉，以获得数值，以便了解猪的反应以及比较数据，在未来，复制的原型将有统计数据进行比较。一旦我们了解了Pigtail用于飞行的机制，我们可能想要运行CFD模型，在那里我们可以测试原型，这些原型将尝试并重现Pigtail已经取得的成就。这将降低成本，因为将建造更少的原型，并且它们可能会有更高的成功率。然而，根据模拟的复杂性，仅参考理论方面并制造更多原型以在海湾校区进行测试可能更省时。然后，我们想把原型通过相同的条件下，猪。这将证明原型是否具有相同的阵风抑制能力，并且在海湾风洞中获得更快的速度，我们将能够看到从鸽子身上学到的阵风抑制能力在多大程度上适用。

This project aims to take advantage of the automatic response birds have inflight to turbulent flow regions. By applying how they respond to these perturbation, these adaptations can be implemented to urban air mobility (UAM) aircraft, which operate in cities which are highly turbulent regions. To begin this project we first need to understand how birds, and in our case flapping flyers, react to controlled gusts. By using equipment designed and produced by Swansea postgraduates, measured gust can be sent towards Pigeons. The gusts in question are regions of unsteady flow, which will artificially increase the birds angle of attack. This will force the bird to manoeuvre to get back into steady, unaccelerating level flight. This response will be measured using motion capture software's as well as slow motion visual cameras and all will be collected in a multitude of different combinations in order to capture the mechanisms flapping flyers use to correct themselves. All of the data will be post processed, especially motion capture, to gain a numerical values in order to understand the response of the Pigeons as well as comparative data when, in the future, protypes replicating will have statistics to compare with. Once we understand what mechanisms the Pigeons are using for flight we may want to run CFD models where we can test prototypes which will try and recreate what the Pigeons have already achieved. This would reduce cost as less prototypes are going to built and they will likely have a higher success rate. However, depending on the complexity of the simulations, it maybe more time efficient to only consult the theoretical aspects and manufacture more prototypes to be tested at Bay campus. We then want to put prototypes through the same conditions the Pigeons were under. This will prove that the prototypes share the same gust rejection or not, and with faster speeds available in the wind tunnel at Bay, we will be able to see, to what extent the gust rejection learnt from the pigeons is applicable to.