Particle Image/Tracking Velocimetry (PIV/PTV) for Hydrodynamic Characterization of Microplastics

用于微塑料流体动力学表征的粒子图像/跟踪测速 (PIV/PTV)

• 批准号: RTI-2022-00722
• 负责人: KarimpourGhannadi, Shooka
• 金额: $ 10.93万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=743098
• 关键词: Particle; Image; Tracking; Velocimetry; PIV

Particle Imaging/Tracking Velocimetry (PIV/PTV) techniques have widespread applications in many fundamental and applied research fields including fluid engineering, medical science, and environmental engineering. Combining these two velocimetry techniques allows non-intrusive characterization of the ambient carrier fluid as well as of the dispersed phase. PIV/PTV techniques have been utilized to parametrize multi-phase flow involving sediment particles, heavy metals, and air bubbles. They have been implemented primarily to investigate the rising or falling behaviours and entrainment in turbulent flow. In the past decade, small plastic particles known as microplastics (MPs), sized smaller than 5mm, have emerged as a hazardous pollutant due to their impact on aquatic animals and human health. Therefore, research on their detection in aquatic environments and ecological implications have gained significant attention. The distribution of MPs in such environments are closely associated with hydrodynamic conditions and some of the physical processes responsible for the mobilization of nutrients, oxygen, and sediments are also capable of transporting MPs. Despite their significance, our knowledge of the interaction of MPs and flow hydrodynamics is limited. The requested PIV/PTV system provides a unique tool for the applicants to carry out breakthrough research on MPs from a perspective that has never been explored before. The equipment will support research on the entrainment and long-distance transport of MPs and mobility and retention of sedimentary MPs. The proposed system is enhanced with machine learning algorithms that enable applicants to view the movement of MP particles in 3D, track particle trajectory, direction, shape, area, and velocity. Furthermore, the system's features, including resolution and speed, are designed to capture intricate features of very irregularly shaped MPs such as microfibres and films. The application of the proposed system, however, is not limited to MPs' characterization; the system will be utilized by applicants in other advanced areas of environmental hydrodynamics including aerated flow characterization. Furthermore, four collaborators at York University, Environment Climate Change Canada, and University of Windsor will be using and benefiting from the system on the basis of exiting collaborations with the applicants.

粒子成像/跟踪速度测定（PIV/PTV）技术在包括流体工程，医学科学和环境工程在内的许多基本和应用研究领域中具有广泛的应用。结合这两种速度测定技术允许对环境载体流体和分散相的非侵入性表征。 PIV/PIV技术已用于参数化涉及沉积物颗粒，重金属和气泡的多相流量。它们主要是为了调查湍流中的上升或下降行为和夹带。 在过去的十年中，小于5mm的小型塑料颗粒（MPS）由于对水生动物和人类健康的影响而成为危险污染物。因此，对它们在水生环境中的检测和生态意义的研究引起了人们的重大关注。在这种环境中，MPS的分布与流体动力条件密切相关，以及负责动员营养，氧气和沉积物的某些物理过程也能够运输MPS。尽管具有重要意义，但我们对MPS和流量流体动力学的相互作用的了解仍然有限。 请求的PIV/PTV系统为申请人提供了独特的工具，可以从从未探索过的角度对国会议员进行突破性研究。该设备将支持有关国会议员的夹带和长距离运输的研究，并保留沉积国会议员。通过机器学习算法增强了所提出的系统，使申请人能够查看3D中MP颗粒的运动，轨迹粒子轨迹，方向，形状，面积和速度。此外，该系统的特征（包括分辨率和速度）旨在捕获非常不规则形状的MPS（例如微纤维和膜）的复杂特征。 但是，所提出的系统的应用不仅限于MPS的表征。该系统将由其他晚期环境流体动力学领域（包括充气流动表征）的申请人使用。此外，约克大学，加拿大环境气候变化和温莎大学的四个合作者将根据与申请人的合作使用并从系统中受益。