EAGER: A Novel Hybrid Light-Field and High-Energy Pulse Color and Depth Encoded Illumination PIV Technique for Unsteady Flow Analyses

EAGER：一种用于非稳态流分析的新型混合光场和高能脉冲颜色和深度编码照明 PIV 技术

• 批准号: 2418485
• 负责人: Rodward Hewlin
• 金额: $ 28.33万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2418485&HistoricalAwards=false
• 关键词: EAGER; Novel; Hybrid; Light; Field

Time dependent fluid flow such as aerodynamic and physiological flow are often studied experimentally using particle image velocimetry (PIV). This has been the gold standard for over three decades and has been an effective technique to acquire two-dimensional flow information. Tomographic PIV emerged as a flow measurement technique to obtain three-dimensional (3D) flow information in complex fluid flow scenarios. However, this method is costly as it requires a multiple camera setup (typically 4 to 6 expensive cameras), a complex flow image reconstruction technique and the results are typically limited to the camera alignment which often results in poor axial resolution. Recent work has shown that it is possible to obtain 3D PIV measurements using a single light field camera setup. However, the axial resolution remains limited. As a result, this research project aims to address these limitations by developing and validating a novel 3D PIV technique that incorporates a single light field color camera, a high energy pulsed rainbow illumination beam for generating color coded and particle depth information, and an in-house developed particle and flow reconstruction algorithm. This method will improve limitations in axial resolution and will significantly advance capabilities of fluid flow measurement systems in academia, industry, and national laboratories. The particle and flow algorithms and validations will be disseminated to a wide range of potential users. The educational component of this research will translate engineering analysis research to the classroom and enhance engineering recruitment and retention by targeting students from community colleges and university undergraduate students.This research project aims to develop a novel technique for 3D PIV that incorporates a single light-field camera, a high-energy pulse color-depth encoded beam, an alternating direction of multipliers (ADMM) and modified Horn-Schunck optical flow algorithm for particle position and flow reconstruction. Fundamentally, the light field camera will capture two-dimensional (2D) angular, spatial, and color-depth encoded information of particles illuminated by the high-energy beam, providing higher resolution particle reconstruction compared to current 3D PIV approaches. This research effort will address issues related to system development, system calibration, validation of measurements, and examining the technique’s ability to achieve 3D flow measurements in complex flow experiments with improved axial resolution. If successful, this novel technique will provide high 3D axial resolution measurement capabilities to researchers and engineers in all areas ranging from aeronautics to biomedical, thus having an indirect yet very broad impact on the nation’s industrial and research infrastructure.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.

经常使用粒子图像速度法（PIV）对时间依赖的流体流量（如空气动力学和物理流量）进行实验研究。这是三十年来的黄金标准，并且是获取二维流量信息的有效技术。层析成像PIV作为一种流量测量技术出现，以在复杂的流体流动场景中获得三维（3D）流量信息。但是，此方法成本很高，因为它需要多个相机设置（通常为4至6台昂贵的相机），复杂的流图像重建技术，并且结果通常仅限于摄像机对齐方式，这通常会导致轴向分辨率差。最近的工作表明，可以使用单个光场相机设置获得3D PIV测量。但是，轴向分辨率仍然有限。结果，该研究项目旨在通过开发和验证一种新型的3D PIV技术来解决这些局限性，该技术结合了单个光场彩色摄像机，高能脉冲彩虹照明光束，用于生成颜色编码和粒子深度信息，以及内部开发的粒子和流动重建算法。该方法将改善轴向分辨率的局限性，并会大大提高学术界，工业和国家实验室中流体流量测量系统的能力。粒子和流量算法和验证将被传播到广泛的潜在用户。这项研究的教育组成部分将通过针对社区大学和大学本科生的学生来将工程分析研究转化为课堂，并通过针对来自社区大学和大学本科生的学生来增强工程招聘和保留。这项研究项目旨在为3D PIV开发一种新型技术，该技术结合了单个光场相机，单个光场相机，一种高增强的脉冲范围，一种高脉冲范围的范围，一种替代的杂物，改良的多个跨度和改良的多型（Ambs），以及跨越的次数（Ambs），以及反式的跨度（Ambs）。粒子位置和流动重建。从根本上讲，光场摄像机将捕获二维（2D）角，空间和颜色深度的编码信息，这些粒子被高能光束照亮，与当前的3D PIV方法相比，高能梁照亮了较高的分辨率粒子重建。这项研究工作将解决与系统开发，系统校准，测量验证以及研究技术在复杂流量实验中实现3D流量测量的能力，并改善轴向分辨率的问题。如果成功的话，这项新技术将为从航空技术到生物医学的所有领域的研究人员和工程师提供高3D轴向分辨率的测量能力，从而对国家的工业和研究基础设施产生了间接但又非常广泛的影响。该奖项颁发了NSF的法定任务，反映了通过评估构成的Infactiria的支持者，并反映了构成构成的依据。