Digital image correlation for large deformation applied in Ti alloy compression and tension test

Optik ◽  
2014 ◽  
Vol 125 (18) ◽  
pp. 5316-5322 ◽  
Author(s):  
Xiang Guo ◽  
Jin Liang ◽  
Zhenzhong Xiao ◽  
Binggang Cao
Keyword(s):  
Digital Image Correlation ◽  
Large Deformation ◽  
Digital Image ◽  
Tension Test ◽  
Image Correlation ◽  
Ti Alloy

scholarly journals A Comprehensive Method for Accurate Strain Distribution Measurement of Cell Substrate Subjected to Large Deformation

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Hong He ◽  
Rong Zhou ◽  
Yuanwen Zou ◽  
Xuejin Huang ◽  
Jinchuan Li
Keyword(s):  
Digital Image Correlation ◽  
Large Deformation ◽  
Digital Image ◽  
Strain Distribution ◽  
Large Strain ◽  
Image Correlation ◽  
Cell Substrate ◽  
Substrate Stretching ◽  
Different Strains

Cell mechanical stretching in vitro is a fundamental technique commonly used in cardiovascular mechanobiology research. Accordingly, it is crucial to measure the accurate strain field of cell substrate under different strains. Digital image correlation (DIC) is a widely used measurement technique, which is able to obtain the accurate displacement and strain distribution. However, the traditional DIC algorithm used in digital image correlation engine (DICe) cannot obtain accurate result when utilized in large strain measurement. In this paper, an improved method aiming to acquire accurate strain distribution of substrate in large deformation was proposed, to evaluate the effect and accuracy, based on numerical experiments. The results showed that this method was effective and highly accurate. Then, we carried out uniaxial substrate stretching experiments and applied our method to measure strain distribution of the substrate. The proposed method could obtain accurate strain distribution of substrate film during large stretching, which would allow researchers to adequately describe the response of cells to different strains of substrate.

Unable to Detect Burial Defective Rubber Sheet in Digital Image Correlation Method

2015 ◽  
Vol 665 ◽  
pp. 209-212
Author(s):  
Dong Chang Li ◽  
Huang Chao ◽  
Qu Jia
Keyword(s):  
Mechanical Properties ◽  
Digital Image Correlation ◽  
Large Deformation ◽  
Digital Image ◽  
Optical Sensors ◽  
Correlation Method ◽  
Image Correlation ◽  
Rubber Material ◽  
Rubber Sheet ◽  
Digital Image Correlation Method

Rubber material is non-linear, hyper-elastic and incompressible. Its complex mechanical properties increase the difficulties of the theoretical calculation in large deformation. As the development of computing capacity and optical sensors, DIC (Digital Image Correlation) method has become an important method in measuring large deformation of rubber material. In this paper, DIC method was used to measure different depth of burial defective rubber in tensile test, the result, however, failed to test the burial defects of rubber sheet. In order to explore the failure mechanism, the finite element simulation test is completed using Mooney-Rivlin material model of two parameters. The undetected phenomenon is caused by rubber’s hyper elasticity and low-rigidity. The results show that DIC method can be effectively applied to the measurement and evaluation of mechanical properties of rubber-like material’s surface defects, but not its burial defects. The fact that DIC method is unable to detect the burial defects of rubber sheet should be paid more attention.

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