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.

时间相关的流体流动，如空气动力学和生理流动经常使用粒子图像测速（PIV）的实验研究。 这是三十多年来的黄金标准，是获取二维流动信息的有效技术。 层析PIV是一种在复杂流体流动场景中获得三维（3D）流动信息的流动测量技术。 然而，这种方法成本高，因为它需要多个摄像机设置（通常为4至6个昂贵的摄像机）、复杂的流动图像重建技术，并且结果通常限于摄像机对准，这通常导致较差的轴向分辨率。 最近的工作表明，它是可能的，以获得三维PIV测量使用一个单一的光场相机设置。 然而，轴向分辨率仍然有限。 因此，本研究项目旨在通过开发和验证一种新型3D PIV技术来解决这些限制，该技术采用了单光场彩色摄像机，用于生成颜色编码和颗粒深度信息的高能脉冲彩虹照明光束，以及内部开发的颗粒和流动重建算法。 这种方法将改善轴向分辨率的限制，并将显着提高学术界，工业界和国家实验室的流体流量测量系统的能力。粒子和流算法和验证将分发给广泛的潜在用户。 本研究的教育部分将把工程分析研究转化到课堂上，并通过针对社区学院和大学本科生的学生来提高工程师的招聘和保留。本研究项目旨在开发一种新的3D PIV技术，该技术结合了单个光场相机，高能脉冲色深编码光束，交替方向的乘法器（ADMM）和改进的Horn-Schunck光流算法的粒子位置和流动重建。从根本上讲，光场相机将捕获由高能光束照射的颗粒的二维（2D）角度，空间和颜色深度编码信息，与当前的3D PIV方法相比，提供更高分辨率的颗粒重建。这项研究工作将解决与系统开发，系统校准，测量验证，并检查该技术的能力，以实现复杂的流动实验中的三维流动测量，提高轴向分辨率相关的问题。如果成功的话，这项新技术将为从航空到生物医学的所有领域的研究人员和工程师提供高三维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间接但非常广泛的影响。该奖项反映了NSF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。