Modelling gust-encounters on UAVs with cyber-physical fluid dynamics

利用网络物理流体动力学对无人机上的阵风遭遇进行建模

基本信息

  • 批准号:
    RGPIN-2018-05168
  • 负责人:
  • 金额:
    $ 1.97万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Micro-aerial vehicles (MAVs) are futuristic remote sensing platforms, ranging in size between that of large insect to a small bird. They are being developed to investigate subjects that would be difficult or impossible to access with a larger platform, or where the vehicle must be inconspicuous. For instance, an MAV developed for search and rescue may be able to navigate cramped or wooded areas, while an MAV meant for wildlife monitoring may be able to operate near birds without startling them. Moreover, the small size and low cost of MAVs allow for greater access to traditional remote-sensing tasks, such as environmental and infrastructure monitoring. However, current MAV designs cannot operate in the open air as they are very vulnerable to gusts. Inspiration from natural flyers such as birds and insects, which are adept at managing changing winds, has therefore become a common theme in MAV development. Small biological flyers do not stay aloft using the same strategies as common commercial aircraft. Instead, they use their wings to both propel themselves forward and to stay aloft; flapping-wing flight must be described with an entirely different set of engineering tools that account for the complex, time-varying motion of flapping wings. The proposed research will develop such engineering tools with a specific focus on understanding gusting loads. These tools will be developed after first determining the flow physics of gust encounters. This physical investigation will be carried out experimentally in a water channel, where a gust generator will be used to expose a flapping wing to unsteady flows. Gust loadings will be measured with a load cell in the wing, while the flow around the wing will be observed with dye-flow visualizations and Particle-Image Velocimetry. After determining the physics of the gust encounters, and after feeding this physics into an engineering model, we will be able to improve experimental facilities for the purposes of studying gusts and to develop new methods to limit the variations in lift and drag experienced by a wing exposed to gusts. This research program will also train new engineers to be experts in both flow physics and the mechanics of flight.
微型飞行器(MAVs)是未来的遥感平台,其大小介于大昆虫到小鸟之间。它们的开发是为了调查那些用大型平台很难或不可能进入的目标,或者车辆必须不显眼的地方。例如,为搜索和救援而开发的MAV可能能够在狭窄或树木繁茂的地区航行,而用于野生动物监测的MAV可能能够在鸟类附近操作而不会吓到它们。此外,mav的体积小、成本低,可以更多地进行传统的遥感任务,例如环境和基础设施监测。然而,目前的MAV设计不能在露天运行,因为它们非常容易受到阵风的影响。因此,从鸟类和昆虫等擅长应对风向变化的天然飞行动物身上获得灵感,成为了MAV开发的一个共同主题。小型生物飞行器不像普通商用飞机那样使用相同的策略保持高空飞行。相反,它们用翅膀推动自己前进,并保持在空中;扑翼飞行必须用一套完全不同的工程工具来描述,这些工具可以解释扑翼复杂的时变运动。拟议的研究将开发这样的工程工具,具体侧重于了解阵风载荷。这些工具将在首先确定阵风遭遇的流动物理之后开发。这项物理研究将在一个水道中进行实验,在那里将使用阵风发生器将扑翼暴露在不稳定流中。阵风载荷将通过机翼上的称重传感器进行测量,而机翼周围的气流将通过染料流可视化和颗粒图像测速仪进行观察。在确定了阵风的物理特性,并将其输入工程模型后,我们将能够改进用于研究阵风的实验设施,并开发新的方法来限制暴露在阵风中的机翼所经历的升力和阻力的变化。这个研究项目还将培养新的工程师成为流动物理和飞行力学方面的专家。

项目成果

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Wong, Jaime其他文献

Determination of fluid flow adjacent to a gas/liquid interface using particle tracking velocimetry (PTV) and a high-quality tessellation approach
  • DOI:
    10.1007/s00348-020-03103-5
  • 发表时间:
    2021-03-01
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Azadi, Reza;Wong, Jaime;Nobes, David S.
  • 通讯作者:
    Nobes, David S.
Experimental and analytical investigation of meso-scale slug bubble dynamics in a square capillary channel
  • DOI:
    10.1063/5.0016241
  • 发表时间:
    2020-08-01
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Azadi, Reza;Wong, Jaime;Nobes, David. S.
  • 通讯作者:
    Nobes, David. S.

Wong, Jaime的其他文献

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{{ truncateString('Wong, Jaime', 18)}}的其他基金

Modelling gust-encounters on UAVs with cyber-physical fluid dynamics
利用网络物理流体动力学对无人机上的阵风遭遇进行建模
  • 批准号:
    RGPIN-2018-05168
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Modelling gust-encounters on UAVs with cyber-physical fluid dynamics
利用网络物理流体动力学对无人机上的阵风遭遇进行建模
  • 批准号:
    RGPIN-2018-05168
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Modelling gust-encounters on UAVs with cyber-physical fluid dynamics
利用网络物理流体动力学对无人机上的阵风遭遇进行建模
  • 批准号:
    RGPIN-2018-05168
  • 财政年份:
    2019
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Modelling gust-encounters on UAVs with cyber-physical fluid dynamics
利用网络物理流体动力学对无人机上的阵风遭遇进行建模
  • 批准号:
    DGECR-2018-00221
  • 财政年份:
    2018
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Launch Supplement
Modelling gust-encounters on UAVs with cyber-physical fluid dynamics
利用网络物理流体动力学对无人机上的阵风遭遇进行建模
  • 批准号:
    RGPIN-2018-05168
  • 财政年份:
    2018
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
A Model for Leading-Edge Vortex Growth with Spanwise Variation
具有展向变化的前沿涡增长模型
  • 批准号:
    460052-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
A Model for Leading-Edge Vortex Growth with Spanwise Variation
具有展向变化的前沿涡增长模型
  • 批准号:
    460052-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Postgraduate Scholarships - Doctoral

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  • 批准号:
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  • 批准号:
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利用网络物理流体动力学对无人机上的阵风遭遇进行建模
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