2022
DOI: 10.1002/stc.3117
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Three‐dimensional deformation measurement of aero‐engine high‐speed rotating blade surface based on stroboscopic structure digital image correlation method

Abstract: Under the working conditions of aero-engine, the three-dimensional composite deformation of the blade is caused by the centrifugal force generated by high-speed rotation and the load generated by gas scouring. Aiming at the problem of three-dimensional composite deformation on the surface of aeroengine blades under high-speed rotation, a three-dimensional deformation measurement method based on stroboscopic structure digital image correlation

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Cited by 10 publications
(5 citation statements)
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“…As part of the experimental setup, calibration was done. Several studies [26][27][28][29][30][31]34,35 discuss the mode of operation, calibration, object preparation, and measurement technique in great detail.…”
Section: Methodsmentioning
confidence: 99%
“…As part of the experimental setup, calibration was done. Several studies [26][27][28][29][30][31]34,35 discuss the mode of operation, calibration, object preparation, and measurement technique in great detail.…”
Section: Methodsmentioning
confidence: 99%
“…They introduced a calibration method based on the features of the blade reference surface, eliminating pose errors in the system without the need for additional calibration objects. The area-source method typically employs digital image correlation techniques [13,14] or structured light technology. For example, Huang et al [15] and others proposed an efficient and highly accurate full-section blade measurement technique based on multi-view structured light three-dimensional measurement.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, owing to the increasing demand for the measurement of large-size structures (such as wind tunnels [7] and aero-engine rotating blades [8]), binocular vision systems with a large field-of-view (FOV) are required [9]. To calibrate the vision systems with a large FOV, researchers have used the one-dimensional (1D) target containing multiple points [10][11][12].…”
Section: Introductionmentioning
confidence: 99%