Full-field motion and deformation measurement of high speed rotation based on temporal phase-locking and 3D-DIC

Ye, Meitu; Liang, Jin; Li, Leigang; Qian, Boxing; Ren, Ming; Zhang, Mingkai; Wang, Lu; Zong, Yulong

doi:10.1016/j.optlaseng.2021.106697

Cited by 17 publications

(5 citation statements)

References 16 publications

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“…The conventional DIC is a subset-based image matching method that determines the target location by comparing the correlation degree between the reference and deformed subsets [ 31 ]. It is notable that it has the limited convergence range of a rotation angle; this is a decorrelation problem that appears when the deformed image is subjected to large-scale rotation [ 32 ]. In addition, large rigid body translation is predominant in the target subset under the presence of periodic rotation motion.…”

Section: The Modified Surf-enhanced Dic Algorithmmentioning

confidence: 99%

Damage Detection for Rotating Blades Using Digital Image Correlation with an AC-SURF Matching Algorithm

Liu

2022

Sensors

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The motion information of blades is a key reflection of the operation state of an entire wind turbine unit. However, the special structure and operation characteristics of rotating blades have become critical obstacles for existing contact vibration monitoring technology. Digital image correlation performs powerfully in non-contact, full-field measurements, and has increasingly become a popular method for solving the problem of rotating blade monitoring. Aiming at the problem of large-scale rotation matching for blades, this paper proposes a modified speeded-up robust features (SURF)-enhanced digital image correlation algorithm to extract the full-field deformation of blades. Combining an angle compensation (AC) strategy, the AC-SURF algorithm is developed to estimate the rotation angle. Then, an iterative process is presented to calculate the accurate rotation displacement. Subsequently, with reference to the initial state of rotation, the relative strain distribution caused by flaws is determined. Finally, the sensitivity of the strain is validated by comparing the three damage indicators including unbalanced rotational displacement, frequency change, and surface strain field. The performance of the proposed algorithm is verified by laboratory tests of blade damage detection and wind turbine model deformation monitoring. The study demonstrated that the proposed method provides an effective and robust solution for the operation status monitoring and damage detection of wind turbine blades. Furthermore, the strain-based damage detection algorithm is more advantageous in identifying cracks on rotating blades than one based on fluctuated displacement or frequency change.

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Section: The Modified Surf-enhanced Dic Algorithmmentioning

confidence: 99%

Damage Detection for Rotating Blades Using Digital Image Correlation with an AC-SURF Matching Algorithm

Liu

2022

Sensors

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“…In the process of image analysis, the zero‐normalized sum of squared differences correlation criteria is used for detecting displacement, in order to considering the influence of illumination fluctuations on grayscale, and the polynomial is defined as an interpolation routine to create a continuous signal from the discrete pixel locations. [ 29 ]…”

Section: Sample Preparation and Experimentsmentioning

confidence: 99%

A Strain Rate‐Dependent Constitutive Model for Asymmetric Hardening Behavior of TB9 Titanium Alloy

Jin

Qiu

et al. 2022

Adv Eng Mater

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The TB9 titanium alloy is one of the most promising materials for engineering application due to high strength, high toughness, and corrosion resistance. Constitutive modeling is an important issue for investigating the materials properties and mechanical behaviors of TB9 titanium alloys using the numerical simulation method. This article presents a pressure‐dependent elastoplastic asymmetric constitutive model that has a high capability of describing the deformation behavior of TB9 titanium alloy. The strain rate sensitivity model of strength differential coefficient evolution is proposed for an accurate simulation of the asymmetric yielding effect. Furthermore, an idea of yield surface plotted in the deviatoric stress space is presented for the decoupling of coupling effect of hydrostatic pressure and lode angle. The validity of this constitutive model is confirmed by comparing the compression stress–strain responses calculated using the proposed model with the experimental observations on TB9 titanium alloy.

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“…Wu et al [9][10][11] have done a lot of research on the displacement field measurement and strain field calculation of rotating objects, and used the three-dimensional DIC method to realize the three-dimensional displacement field measurement of a 5 kW small wind turbine blade. Ye et al [12] based on the FFT principle, combined the high-speed rotation image collection of a low-speed camera with 3D DIC to achieve full-field dynamic deformation measurement of ventilation fan blades. Compared with holographic interferometry and laser speckle interferometry, DIC method has advantages in adaptability to measurement environment [13].…”

Section: Introductionmentioning

confidence: 99%

A novel deformation measurement method for rotating blade based on PSO-ILS image correlation matching and mismatch correction

Wu,

Sun,

Liu

et al. 2024

Meas. Sci. Technol.

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Aiming at the problem of small measurement range and difficult measurement of traditional contact sensor method in the rotating state of aero-engine blades, this paper proposes a novel deformation measurement method for rotating blade based on image correlation matching and mismatch correction. Firstly, a Particle Swarm Optimization-Iterative Local Search image intelligent matching algorithm is proposed, which effectively balances global search and local optimization, and the image matching displacement accuracy reaches 10−3 pixel. Secondly, a mismatch point detection method based on multi-scale local Root Mean Square is proposed, and the high-precision detection of mismatch points is realized by considering the influence of local structure. Finally, through the hierarchical refinement of the sub-pixel level mismatch point correction method, the mismatch point is corrected in the two iterative stages of global search and local optimization. The corrected mismatch point response value K is reduced by 99% compared with that before correction, which further improves the accuracy of deformation field calculation. In the experiment, the deformation of the rotating blade of 4500 RPM is measured, which proves that the image intelligent matching algorithm and the deformation field calculation method proposed in this paper can provide new methods and technical support for the accurate measurement of the blade surface deformation.

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Full-field motion and deformation measurement of high speed rotation based on temporal phase-locking and 3D-DIC

Cited by 17 publications

References 16 publications

Damage Detection for Rotating Blades Using Digital Image Correlation with an AC-SURF Matching Algorithm

Damage Detection for Rotating Blades Using Digital Image Correlation with an AC-SURF Matching Algorithm

A Strain Rate‐Dependent Constitutive Model for Asymmetric Hardening Behavior of TB9 Titanium Alloy

A novel deformation measurement method for rotating blade based on PSO-ILS image correlation matching and mismatch correction

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