Collaborative Research: Controlling Flow Separation via Traveling Wave Actuators

合作研究:通过行波执行器控制流动分离

基本信息

  • 批准号:
    1905252
  • 负责人:
  • 金额:
    $ 25.24万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

Flow separation over a wing or fan blade leads typically to a significant loss of lift, thrust, or power, an increase in drag, an increase in fuel consumption, etc. Consequently, flow separation over these surfaces should be prevented with design or controlled. To control flow separation in this project, the flow near the surface is energized through triggering instabilities by a new lightweight, energy-efficient actuator that generates traveling waves. The main goal of this project is to test the hypothesis that this actuation is more efficient than other means and to optimize the performance of this actuator by gaining an understanding of the key parameters that govern the interaction of the actuator with the flow. This project will create a series of educational videos and the engagement of a diverse group of undergraduate students through well-established programs at our institutions. The main hypothesis of this proposal is that traveling wave actuators perform better than other actuators that create standing waves because: 1) traveling waves also inject momentum (generate thrust), and 2) apart from frequency, an additional parameter (wavelength) can also be tuned to affect flow separation as demonstrated by the preliminary results. Numerical and experimental approaches will be used for flow on a typical airfoil (NACA0018). Large-eddy simulations (LES) with moving boundaries will provide possible traveling waves for the initial design of traveling wave actuators and elucidate the mechanisms of flow reattachment. The experiments in the wind tunnel will provide the data to validate the simulations and confirm the hypothesis by comparing the traveling against standing wave actuators. The team?s synergistic capabilities in generating traveling wave via piezoelectric actuators and the wind tunnel experiments as well as LES with moving boundaries and fluid-structure interaction uniquely position us to tackle this challenge and accomplish the tasks put forward in this proposal.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
机翼或风扇叶片上的流动分离通常会导致升力、推力或功率的显着损失、阻力的增加、燃料消耗的增加等。因此,应该通过设计来防止或控制这些表面上的流动分离。为了控制该项目中的流动分离,通过产生行波的新型轻质、节能执行器触发不稳定性来为表面附近的流动提供能量。该项目的主要目标是测试这种驱动比其他方式更有效的假设,并通过了解控制驱动器与流量相互作用的关键参数来优化该驱动器的性能。该项目将制作一系列教育视频,并通过我们机构完善的项目吸引不同群体的本科生参与。该提案的主要假设是,行波致动器比其他产生驻波的致动器表现更好,因为:1)行波还注入动量(产生推力),2)除了频率之外,还可以调整附加参数(波长)来影响流动分离,如初步结果所示。数值和实验方法将用于典型翼型上的流动(NACA0018)。具有移动边界的大涡模拟(LES)将为行波致动器的初始设计提供可能的行波,并阐明流动重新附着的机制。风洞实验将提供数据来验证模拟并通过比较行波致动器和驻波致动器来证实假设。该团队通过压电致动器和风洞实验以及具有移动边界和流固耦合的 LES 产生行波的协同能力使我们能够应对这一挑战并完成本提案中提出的任务。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查进行评估,被认为值得支持 标准。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Continuous video stream pixel sensor: A CNN‐LSTM based deep learning approach for mode shape prediction
  • DOI:
    10.1002/stc.2892
  • 发表时间:
    2021-11
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Ruoyu Yang;S. Singh;Mostafa Tavakkoli;Nikta Amiri;M. Karami;Rahul Rai
  • 通讯作者:
    Ruoyu Yang;S. Singh;Mostafa Tavakkoli;Nikta Amiri;M. Karami;Rahul Rai
Flow control and separation delay in morphing wing aircraft using traveling wave actuation
  • DOI:
    10.1088/1361-665x/abd347
  • 发表时间:
    2021-02-01
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Olivett, Anthony;Corrao, Peter;Karami, M. Amin
  • 通讯作者:
    Karami, M. Amin
Input shaping for travelling wave generation
用于生成行波的输入整形
  • DOI:
    10.1088/1361-665x/ac5c89
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Bhayadia, Amit;Olivett, Anthony;Singh, Tarunraj;Karami, M Amin
  • 通讯作者:
    Karami, M Amin
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Amin Karami其他文献

Edge computing in big data: challenges and benefits
Leveraging big data characteristics for enhanced healthcare fraud detection
The impact of big data characteristics on credit risk assessment
The use of computational intelligence for security in named data networking
  • DOI:
    10.5821/dissertation-2117-95631
  • 发表时间:
    2015-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amin Karami
  • 通讯作者:
    Amin Karami

Amin Karami的其他文献

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