A New 3D reconstruction method for pressure-sensitive paint measurements under limited optical access

被引:0
|
作者
Zhu, Zichao [1 ,2 ]
Dong, Zhe [3 ,4 ]
Tang, Kai [5 ]
Li, Jia [5 ]
Liu, Yingzheng [1 ,2 ]
Peng, Di [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Mech Engn, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Gas Turbine Res Inst, Shanghai, Peoples R China
[3] Shanghai Aerosp Control Technol Inst, Shanghai, Peoples R China
[4] Shanghai Key Lab Aerosp Intelligence Control Techn, Shanghai, Peoples R China
[5] AECC Sichuan Gas Turbine Estab, Mianyang, Peoples R China
基金
中国国家自然科学基金;
关键词
Contour matching; Direct linear transformation; Pressure-sensitive paint; Three-dimensional reconstruction; Planar cascade;
D O I
10.1016/j.measurement.2024.115795
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reconstruction of 3D pressure field is crucial for pressure-sensitive paint measurements in turbomachinery experiments. Existing methods impose high requirements on feature points in terms of quantity, spatial distribution, and positional accuracy, and is difficult to apply under limited optical access, such as in planar cascade wind tunnels. We propose a novel direct linear transformation method based on contour matching (CM-DLT). This method leverages model contours captured from a tilted camera perspective, which provides the basis for identifying the projection matrix linking image pixels to 3D spatial points. The subsequent optimization of the projection matrix significantly enhances the accuracy and robustness of 3D pressure field reconstruction. In a benchmark experiment, the efficiency and reprojection accuracy of 3D reconstruction are investigated. Subsequently, the CM-DLT method is successfully applied in the cascade wind tunnel experiment. The obtained 3D pressure fields of two surfaces of adjacent blades are analyzed.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Pressure-correction method for low-speed pressure-sensitive paint measurements
    Liu, TS
    AIAA JOURNAL, 2003, 41 (05) : 906 - 911
  • [2] 3D surface pressure measurement with single light-field camera and pressure-sensitive paint
    Shengxian Shi
    Shengming Xu
    Zhou Zhao
    Xiaofu Niu
    Mark Kenneth Quinn
    Experiments in Fluids, 2018, 59
  • [3] 3D surface pressure measurement with single light-field camera and pressure-sensitive paint
    Shi, Shengxian
    Xu, Shengming
    Zhao, Zhou
    Niu, Xiaofu
    Quinn, Mark Kenneth
    EXPERIMENTS IN FLUIDS, 2018, 59 (05)
  • [4] A deep-learning image registration method for pressure-sensitive paint measurements
    Di, Yida
    Gu, Feng
    Liu, Yingzheng
    Peng, Di
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (08)
  • [5] Pressure-sensitive paint measurements on the cavity with passive control devices under transonic flow
    Ouyang, Jun-Kai
    Liao, Yi-Ting
    Hsu, Yen-Ting
    Lee, Cheng-Chi
    Lin, Yu-Hung
    Chen, Chung-Lung
    Wang, Wei-Hsiang
    JOURNAL OF MECHANICS, 2023, 39 : 280 - 291
  • [6] An accumulated imaging method with phase-locking for rotor pressure-sensitive paint measurements
    Ge, Ning
    Li, Ruiyu
    Gao, Limin
    Wang, Lei
    Ouyang, Bo
    EXPERIMENTS IN FLUIDS, 2023, 64 (06)
  • [7] Optical measurements of high-frequency pressure fluctuations using a pressure-sensitive paint and Cassegrain optics
    Sakamura, Y
    Suzuki, T
    Matsumoto, M
    Masuya, G
    Ikeda, Y
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2002, 13 (10) : 1591 - 1598
  • [8] Applications of Pixel-by-Pixel Calibration Method in Microscale Measurements With Pressure-Sensitive Paint
    Huang, Chih-Yung
    Lai, Chih-Min
    Li, Jia-Syuan
    JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 2012, 21 (05) : 1090 - 1097
  • [9] An accumulated imaging method with phase-locking for rotor pressure-sensitive paint measurements
    Ning Ge
    Ruiyu Li
    Limin Gao
    Lei Wang
    Bo Ouyang
    Experiments in Fluids, 2023, 64
  • [10] Simultaneous 3D surface profile and pressure measurement using phase-shift profilometry and pressure-sensitive paint
    Li, Yongzeng
    Dong, Zhe
    Liang, Lei
    Liu, Yingzheng
    Peng, Di
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2021, 92 (03):