Full-field measurement of rotating blades based on digital image correlation

被引：0
|
作者：
Ye M. [1 ]
Liang J. [1 ]
Qian B. [1 ]
Zong Y. [1 ]
Gong C. [1 ]
机构：
[1] State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an
来源：
Liang, Jin (liangjin@mail.xjtu.edu.cn) | 1757年 / Central South University of Technology卷 / 51期
基金：
中国国家自然科学基金;
关键词：
Digital image correlation; Full-field measurement; Inverse rotation; Rotating blade; SURF algorithm;
D O I：
10.11817/j.issn.1672-7207.2020.07.002
中图分类号：
学科分类号：
摘要：
To solve the difficulty to match the images before and after deformation by digital image correlation(DIC) in the measurement of rotating blade, based on digital image correlation, a stable method for measuring the full-field deformation of rotating blades was presented. Firstly, for the correlation matching between the reference image and the deformed image in the left image sequence, SURF algorithm was used to obtain the feature point pairs before and after the rotation of the measured surface. Secondly, the corrected image was obtained by the inverse rotation to the deformed image according to feature points pairs. Thirdly, the corrected image with the reference image was matched by DIC. Finally, the coordinates of the corresponding nodes in the original deformed image was obtained by positive rotation of the matched target nodes on the corrected image. The proposed rotation matching strategy was verified by numerical simulation, and the measurement of displacement and strain fields of the ventilator blades during high-speed rotation were carried out. The results show that the correction accuracy of the proposed rotation matching strategy is up to ±0.0075 pixel, which is satisfied with the full-field and accurate measurement of rotation displacements and strains combined with digital image correlation. © 2020, Central South University Press. All right reserved.
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页码：1757 / 1766
页数：9
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