课题基金 / 基金详情

单台彩色相机4D-PIV的三色掩膜成像机理及三维重构研究

批准号:
12102284
项目类别:
青年科学基金项目(C类)
资助金额:
30.0 万元
负责人:
丁俊飞
依托单位:
学科分类:
实验流体力学
结题年份:
2024
批准年份:
2021
项目状态:
已结题
项目参与者:
丁俊飞

项目摘要

结项摘要

相似基金

相关文献

中文摘要
叶轮机械作为“两机专项”重大装备的能量转换部件,精细气动设计严重依赖于对流道内复杂流动的准确诊断与有效控制,但现有三维PIV技术在受限空间复杂流场的高频响三维测量方面仍存在不足。为此,结合彩色PIV能够提供更多信息的优势,采用三色掩膜将颜色信息与视角信息结合,提出一种单台彩色相机三色掩膜成像思想,实现流场4D-PIV(时间分辨、三维空间分辨)测量。构建粒子到三色掩膜彩色图像的成像模型,分析成像系统主要参数对三维空间分辨率的影响,揭示三色掩膜成像机理;研究完整画幅全分辨率三视角图像提取,三维体标定及标定结果偏差自校准方法;结合示踪粒子均匀稀疏分布特性,研究融合传统重构算法及深度学习的高精度、高效率粒子三维重构;分析成像系统硬件主要参数、三维重构软件参数、流场关键指标对重构性能的影响。为受限空间复杂流场的高频响三维测量提供一种全新的解决方案,同时为其他流场的三维测试提供一种思路和手段。
英文摘要
Turbomachinery transfers energy between fluids and rotor blades. Its efficacy can be increased by improving the aerodynamic aspect of the design, which requires accurate flow diagnostics and effective control of the complex turbulent flow in the flow channel. Nonetheless, experimental measurements of the turbulent flow are highly challenging because the flow is highly three-dimensional, has wide turbulence spectra range and is confined in an enclosed space. To address these challenges and advance turbomachinery designs, a novel 4D-PIV technique which offers time-resolved, three-dimensional and three-component velocity measurements is proposed. The 4D-PIV leverages upon a single color camera and a trichromatic mask to extract perspective information of seeded particles in the flow field. This can be achieved by constructing a particle-to-color image mapping model, and then analyzing the influence of the main parameters of the trichromatic imaging system on the three-dimensional spatial resolution to determine the imaging mechanism of the trichromatic mask. The method to extract three full-frame full-resolution perspective images will be explored, and 3D calibration and calibration result deviation self-calibration methods will be developed. A highly precise and efficient particle reconstruction algorithm which combines traditional reconstruction algorithms and deep learning will be studied to improve the reconstruction of uniform and sparsely distributed seeding particles. The effects of major hardware parameters, reconstruction software parameters and key indicators of the flow field on the reconstruction performance of the imaging system will be analyzed. The proposed research project presents a new solution that offers high frequency response and three-dimensional velocity measurements of complex turbulent flows in confined spaces. The novelty of the project is expected to introduce fresh perspectives and methods for three-dimensional velocity measurements, which will impact various fields of research in experimental fluid mechanics.
本项目发展了具有自主知识产权的三色掩膜三维PIV系统的硬件设计技术、单彩色相机PIV三维流场测量技术,并进行了实验验证。先后完成了示踪粒子三色掩膜三维成像模型和三维空间分辨率研究、三色掩膜粒子三视角图像提取研究、三色掩膜示踪粒子三维重构研究、三色掩膜单相机粒子三维追踪算法以及进行了人工合成流场和实验流场三维测量研究。开发了三色掩膜粒子图像合成平台、示踪粒子图像的三视角图像提取算法、三色掩膜单彩色相机粒子三维粒子重构算法、以及三维体校准算法,并结合深度学习算法和传统算法,采用GPU加速,实现高效高精度流场测量算法。完成了基于三色掩膜单相机的低速水槽圆柱绕流和低速水槽零质量射流验证实验,验证了三色掩膜三维PIV测量技术及系统的准确性和可行性。为受限空间复杂流场的高频响三维测量提供一种全新的解决方案,同时为其他流场的三维测试提供一种思路和手段。
国内基金
海外基金