Measurement of Deformation Close to Contact Interface Using Digital Image Correlation and Image Segmentation

Sun, Chen; Zhou, Yue; Chen, J.; Miao, Hong

doi:10.1007/s11340-015-0055-8

Cited by 36 publications

(16 citation statements)

References 29 publications

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“…We previously developed a model that utilizes a neural network embedded in physical criteria to judge the elastic-plastic deformation of materials directly based on displacement data. Firstly, the segmentation-aided digital image correlation method (SA-DIC) [31] is used to obtain the full-field displacement, including the contact boundary, and then a three-layer neural network embedded in the physical model is established. Subsequently, the data points close to the center of the identified elastic region and plastic region are adopted in training the neural network.…”

Section: Methodsmentioning

confidence: 99%

Experimental and Finite Element Analysis of Plastic Domain Evolution of Rough Surfaces during Contact

Huang

Zhang

Sun

et al. 2022

Preprint

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The processing method has an effect on the morphology and yield strength of the rough surface. In this paper, experiments and finite element methods are used to analyze the contact behavior of asperities on the rough surface. And the effects of the distribution, height, surface noise, and yield strength of the asperities on the rough surface on the plastic expansion of the asperities are discussed. For the rough surface of the aluminum alloy machined by the three processing methods, the plastic evolution of the surface asperities is directly observed in the experiment. The results show that when the surface roughness is lower, the plastic growth of various asperities on the surface is more uniform. We consider that the morphology of the asperities consists of the periodic morphology and the noise of this morphology. The plastic deformations of rough surfaces with different morphologies are analyzed by finite element method. The results show that the higher the frequency of the asperity distribution, the smaller the plastic deformation under the same load. And the plastic deformation of asperities increases with height. In addition, the mean value of the noise has a limited effect on the plastic change of the rough surface. However, when the noise variance gradually increases, the plastic area of the asperities shows a slow upward trend.

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Section: Methodsmentioning

confidence: 99%

Experimental and Finite Element Analysis of Plastic Domain Evolution of Rough Surfaces during Contact

Huang

Zhang

Sun

et al. 2022

Preprint

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“…Several studies that consider the deformation and stresses on bladed disk joints are available in the literature for both dovetail and fir tree joints. [9][10][11][12][13][14][15] There are few studies investigating the effects of fir tree geometry on stresses developed in the turbine disk. Meguid et al 8 studied the effect of variation in certain key geometric features of the fir tree, such as the number of teeth, flank angle, and flank length, on von-Mises stresses on disk slot.…”

Section: Background and Motivationmentioning

confidence: 99%

“…As far as the design of the joints is concerned, it is necessary to ensure that the service life of the bladed disk is not limited by the failure of the joint. Several studies that consider the deformation and stresses on bladed disk joints are available in the literature for both dovetail and fir tree joints . There are few studies investigating the effects of fir tree geometry on stresses developed in the turbine disk.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty and global sensitivity analysis of bladed disk statics with material anisotropy and root geometry variations

Rajasekharan

Petrov

2019

Engineering Reports

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Monocrystalline blades used in gas turbines exhibit material anisotropy, and the orientation of the anisotropy axis affects the deformation of the bladed disk. Considering the orientation of the anisotropy axis as a random design parameter, the uncertainty and sensitivity analysis for static blade deformations are presented for the first time. The following two cases are analyzed using a realistic bladed disk model with friction contacts: (i) deformation of the tuned bladed disks considering the uncertainty in anisotropy orientation and variations in fir tree root geometry and (ii) deformation of mistuned bladed disks with uncertain blade crystal orientations. For efficient uncertainty and sensitivity analysis, the applicability of the following surrogate models are explored: (i) an ensemble of regression trees (random forest) and (ii) gradient‐based polynomial chaos expansion. Faster convergence in statistical characteristics has been obtained using a surrogate model compared to that obtained from finite element model based Monte Carlo simulation. From sensitivity analysis, it has been inferred that the uncertainty in static displacements of a blade in a bladed disk is primarily due to the uncertainty in anisotropy angles of that blade itself and secondarily due to the interaction of different blade anisotropy angles.

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“…Because of its good adaptabilities to different materials and working environments, DIC has been widely used in the academic and industrial communities [18][19][20][21]. In a previous work, we proposed a segmentationaided digital image correlation (SA-DIC) method which reliably measures the localized deformation close to the contact interface [22]. Nevertheless, it is still difficult to characterize the strain concentration of the blade root due to the lack of spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Multiscale segmentation-aided digital image correlation for strain concentration characterization of a turbine blade fir-tree root

Sun

Zhou

Yang

et al. 2018

Meas. Sci. Technol.

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In this paper, a multiscale segmentation-aided digital image correlation method is proposed to characterize the strain concentration of a turbine blade fir-tree root during its contact with the disk groove. A multiscale approach is implemented to increase the local spatial resolution, as the strain concentration area undergoes highly non-uniform deformation and its size is much smaller than the contact elements. In this approach, a far-field view and several near-field views are selected, aiming to get the full-field deformation and local deformation simultaneously. To avoid the interference of different cameras, only the optical axis of the far-field camera is selected to be perpendicular to the specimen surface while the others are inclined. A homography transformation is optimized by matching the feature points, to rectify the artificial deformation caused by the inclination of the optical axis. The resultant genuine near-field strain is thus obtained after the transformation. A real-world experiment is carried out and the strain concentration is characterized. The strain concentration factor is defined accordingly to provide a quantitative analysis.

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Measurement of Deformation Close to Contact Interface Using Digital Image Correlation and Image Segmentation

Cited by 36 publications

References 29 publications

Experimental and Finite Element Analysis of Plastic Domain Evolution of Rough Surfaces during Contact

Experimental and Finite Element Analysis of Plastic Domain Evolution of Rough Surfaces during Contact

Uncertainty and global sensitivity analysis of bladed disk statics with material anisotropy and root geometry variations

Multiscale segmentation-aided digital image correlation for strain concentration characterization of a turbine blade fir-tree root

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