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Control of Complex Turbulent Flow

Control of Complex Turbulent Flow
复杂湍流控制
批准号:
RGPIN-2021-04045
负责人:
Tarokh, Ali
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:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
操纵流场以将其改变为所需形式的能力是流体动力学中的基本主题之一。虽然在不同的工程装置中都可以看到流动控制的应用,但其在空气动力学方面的影响更为显著,特别是在低雷诺数流动区。在低速流动中,任何扰动都可能使流型发生剧烈的改变,并引起阻力的突然增加和升力和推力的损失。因此,为了获得更好的气动效率,需要在低雷诺数条件下采用合适的流动控制技术。低雷诺数下的非定常空气动力学是在各种实际工程应用中观察到的常见现象。典型的例子是风力涡轮机、飞行无人机、微型飞行器(MAV)、小型无人机(UAV)、在低密度大气中运行的飞行物体,而不是地球的小型升力表面,如昆虫和鸟类的翅膀。小长度尺度和低速度的结合导致了低雷诺数工况,粘性效应将导致非定常流分离。低雷诺数空气动力学的基本性质具有极其丰富的流动物理,使其成为一个令人兴奋的研究课题。在该流型下,当流量变化较大时,被动流动控制无法改善气动性能。因此,需要主动流动控制来改变复杂流动条件下的流型。在各种主动流动控制方法中,边界层的周期驱动表现出较好的控制效果。智能材料,如宏纤维复合材料驱动器可以产生周期性运动所需的空气动力学性能的改善。在开发智能材料的过程中,科学技术的进步使得在表面上产生不同的形状(表面变形)来控制流动模式成为可能。在本研究项目中,将通过对水中游泳者的启发,研究行波形式的表面变形对控制流动分离的影响。研究了壁面附近复杂的流动特性。我们将探讨由表面行波引起的跨边界层动量交换的不同机制。此外,还将建立一个分析模型,预测各种工作条件下的最佳表面运动。该模型可用于后期的闭环控制系统中对控制器进行调整。本文将在风力机叶片上进行数值试验,以评估其改善非定常气动载荷的性能。这个程序推进了我们目前的知识在流动动力学表面变形的作用,这转移到开发一种新的方法来控制流体流动的创新技术的发展。它对从设计智能风力涡轮机到侦察昆虫的工程新工具和技术具有重要而广泛的影响。
英文摘要
The ability to manipulate a flow field to change it to the desired form is one of the essential topics in fluid dynamics. Although employing flow control can be seen in different engineering devices, its impact is more significant in the aerodynamics, especially at the low Reynolds number flow regime. The flow pattern may dramatically be reformed by any disturbance in low speed flow and causes a sudden increase of drag and loss of lift and thrust. Therefore, in order to achieve better aerodynamic efficiency, suitable flow control techniques are required in low Reynolds number. Unsteady aerodynamics at a low Reynolds number is a common phenomenon observed in a variety of real-world engineering applications. Typical examples are wind turbines, flying drones, micro aerial vehicles (MAV), small unmanned aerial vehicles (UAV), a flying object operating at low-density atmosphere other than Earth's small-scale lifting surfaces such as insect and bird wings. The combination of small length scale and low velocities results in low Reynolds operating conditions where the viscous effect will cause the unsteady flow separation. The fundamental nature of low Reynolds aerodynamics has enormously rich flow physics, making it an exciting research topic. In this flow regime, the passive flow control cannot improve the aerodynamic performance when the flow changes dramatically. Therefore, active flow control is required to modify the flow pattern in the complex flow conditions. Among different active flow control methods, periodic actuation of the boundary layer has shown a better performance. Smart materials such as Macro Fiber Composites actuators can produce the periodic motion required for aerodynamic performance improvement. Improving science and technology in developing smart materials makes it possible to generate different shapes on the surface (surface morphing) to control the flow pattern. In this research program, the effects of the surface morphing in the form of a traveling wave on controlling the flow separation will be studied by inspiring from aquatic swimmers. The complex flow behavior near the wall region will be investigated. Different mechanisms of exchanging momentum across the boundary layer due to the traveling wave on the surface will be explored. Also, an analytical model will be developed that predicts the optimum surface motion in various working conditions. This model can be used later in the closed-loop control system to adjust the controller. This flow control will be tested numerically on a wind turbine blade to assess its performance to improve the unsteady aerodynamic loads. This program advances our current knowledge in the role of surface morphing on the flow dynamics, which transfers to the development of innovative techniques in developing a new method for controlling the fluid flow. It has significant and broad implications for engineering new tools and technologies from designing smart wind turbines to spy insects.
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Control of Complex Turbulent Flow
  • 批准号:
    RGPIN-2021-04045
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2022
  • 负责人:
    Tarokh, Ali
  • 依托单位:
Control of Complex Turbulent Flow
  • 批准号:
    DGECR-2021-00243
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2021
  • 负责人:
    Tarokh, Ali
  • 依托单位:
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  • 负责人:
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