CAREER: Quantification of the kinetic energy of particles in complex flows using magnetic particle tracking

职业:使用磁粒子跟踪量化复杂流中粒子的动能

基本信息

  • 批准号:
    1944187
  • 负责人:
  • 金额:
    $ 50万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-02-01 至 2023-11-30
  • 项目状态:
    已结题

项目摘要

Particulate flow is ubiquitous in nature and many aspects of human life. For example, sandstorms have severe environmental and economic consequences, and the efficiency of a fluidized particle reactor determines the production rates in many chemical and food industries. A critical issue is that particles in nature are usually non-spherical and may behave differently from theoretical predictions as existing theories are largely based on spherical particle models. Furthermore, the problem is challenging because dense particulate flows are usually opaque and cannot be measured with advanced optical flow diagnostic technologies. The objective of this experimental project is to develop a novel magnetic-based technology to measure the particle shape and motion and provide a better understanding of complex particulate flows. This project will also encompass significant educational and outreach activities, including museum exhibitions and visits to under-represented minority communities. The proposed research aims to quantify the kinetic energy and shape effect of non-spherical particles in complex flows using magnetic-based particle tracking. Magnetic fields can penetrate opaque materials, thus the proposed technique works with particles of any shape or concentration. For higher accuracy, a highly-accurate magnetometry based on photoluminescence of quantum bits will be employed to reconstruct the motion of multiple magnetic particles in a shear flow. The Lagrangian trajectory orientation and angular velocity of the particle will be obtained with this technique. The results will be used to test the hypothesis that a large particle aspect ratio leads to energy equal partition, to measure the influence of sphericity, and to examine the energy transfer among translational and rotational degrees of freedom. Finally, this project contributes to experimental fluid dynamics by developing a non-optical particle tracking technology that can be used in a variety of multiphase flow studies.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.
微粒流在自然界和人类生活的许多方面无处不在。例如,沙尘暴具有严重的环境和经济后果,流化颗粒反应器的效率决定了许多化学和食品工业的生产率。一个关键的问题是,自然界中的粒子通常是非球形的,并且可能与理论预测的行为不同,因为现有的理论主要基于球形粒子模型。此外,这个问题具有挑战性,因为密集的颗粒流通常是不透明的,无法用先进的光流诊断技术进行测量。这个实验项目的目标是开发一种新的基于磁的技术来测量颗粒的形状和运动,并提供更好的理解复杂的颗粒流动。该项目还将包括重要的教育和推广活动,包括博物馆展览和访问代表性不足的少数民族社区。本研究旨在利用磁性粒子跟踪技术量化复杂流动中非球形粒子的动能和形状效应。磁场可以穿透不透明的材料,因此所提出的技术适用于任何形状或浓度的颗粒。为了获得更高的精度,将采用基于量子比特光致发光的高精度磁强计来重建剪切流中多个磁性粒子的运动。用这种方法可以得到粒子的拉格朗日轨迹方向和角速度。研究结果将用于验证大粒子长径比导致能量相等分配的假设,测量球度的影响,以及检查平动自由度和旋转自由度之间的能量传递。最后,该项目通过开发可用于各种多相流研究的非光学粒子跟踪技术,为实验流体动力学做出了贡献。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The translational and rotational motions of a cylindrical particle in a granular shear flow inside a split bottom Couette cell
  • DOI:
    10.1063/5.0015175
  • 发表时间:
    2020-07-01
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Tao, Xingtian;Wu, Huixuan
  • 通讯作者:
    Wu, Huixuan
Classification of spatial-temporal flow patterns in a low Re wake based on the recurrent trajectory clustering
基于循环轨迹聚类的低Re尾流时空流模式分类
  • DOI:
    10.1063/5.0123627
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Wu, Huixuan;Zhang, Meihua;Zheng, Zhongquan Charlie
  • 通讯作者:
    Zheng, Zhongquan Charlie
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Huixuan Wu其他文献

Mobility and volatility: What is behind the rising income inequality in the United States
流动性和波动性:美国收入不平等加剧的原因是什么
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Huixuan Wu;Yaohan Li
  • 通讯作者:
    Yaohan Li
Wind Sensing and Estimation Using Small Fixed-Wing Unmanned Aerial Vehicles: A Survey
使用小型固定翼无人机进行风感测和估计:调查
Quantification of the complexity and unpredictability of a turbulent cylinder wake using excess entropy
使用过量熵量化湍流圆柱尾流的复杂性和不可预测性
Classification of Wind Farm Turbulence and Its Effects on General Aviation Aircraft and Airports : Technical Summary
风电场湍流的分类及其对通用航空飞机和机场的影响:技术摘要
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Z. Zheng;Huixuan Wu
  • 通讯作者:
    Huixuan Wu
Real-time Multiple-particle Tracking in Ultrasonic Spray Pyrolysis
  • DOI:
    10.1016/j.mfglet.2022.07.010
  • 发表时间:
    2022-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Cade Albert;Lin Liu;John Haug;Huixuan Wu;Ruichen He;Jiarong Hong
  • 通讯作者:
    Jiarong Hong

Huixuan Wu的其他文献

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{{ truncateString('Huixuan Wu', 18)}}的其他基金

Evaluating the complexity of unsteady turbulent flows using excess entropy
使用过剩熵评估非定常湍流的复杂性
  • 批准号:
    2327661
  • 财政年份:
    2023
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
CAREER: Quantification of the kinetic energy of particles in complex flows using magnetic particle tracking
职业:使用磁粒子跟踪量化复杂流中粒子的动能
  • 批准号:
    2403832
  • 财政年份:
    2023
  • 资助金额:
    $ 50万
  • 项目类别:
    Continuing Grant
Evaluating the complexity of unsteady turbulent flows using excess entropy
使用过剩熵评估非定常湍流的复杂性
  • 批准号:
    2400237
  • 财政年份:
    2023
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant

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