Using grey intensity adjustment strategy to enhance the measurement accuracy of digital image correlation considering the effect of intensity saturation

2018 ◽  
Vol 104 ◽  
pp. 173-180 ◽  
Author(s):  
Bang-Jian Li ◽  
Quan-Bao Wang ◽  
Deng-Ping Duan ◽  
Ji-An Chen
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Image Correlation ◽  
Adjustment Strategy ◽  
Intensity Saturation

Enhancement of Strain Measurement Accuracy of Two-Dimensional Digital Image Correlation Based on Dual-Reflector Imaging

2019 ◽  
Vol 39 (12) ◽  
pp. 1212002
Author(s):  
朱飞鹏 Zhu Feipeng ◽  
陆润之 Lu Runzhi ◽  
白鹏翔 Bai Pengxiang ◽  
雷冬 Lei Dong
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Strain Measurement ◽  
Measurement Accuracy ◽  
Image Correlation ◽  
Two Dimensional

scholarly journals Digital image correlation for sensing kinematic fields in manufacturing processes: a review

2021 ◽  
Vol 2 (2) ◽  
pp. 37-62
Author(s):  
Pingan Zhu ◽  
Chao Zhang ◽  
Jun Zou
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Measurement Errors ◽  
Design Methodology ◽  
Measurement Accuracy ◽  
Intelligent Manufacturing ◽  
Image Correlation ◽  
Basic Principles ◽  
Content Type ◽  
Dic Technique

PurposeThe purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing.Design/methodology/approachNo methodology was used because the paper is a review article.Findingsno fundings.Originality/valueHerein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.

Parallel reliability-guided algorithm for digital image correlation

2019 ◽  
Vol 61 (12) ◽  
pp. 729-737 ◽  
Author(s):  
Zhe Lin ◽  
Tian Cai ◽  
Yanfeng Wang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Image Sequence ◽  
Image Correlation ◽  
Reference Image ◽  
Measurement Results ◽  
Discontinuous Deformation ◽  
Computing Platforms ◽  
Time Required

Digital image correlation is a non-contact optical method for measuring the displacement and strain on the surface of a material. The existing reliability-guided digital image correlation (RG-DIC) method is stable and reliable for a single image but it still needs a large calculational resource for a sequence of images. Due to the decorrelation effect, the reference image must be replaced several times to correct the measurement results for an image sequence involving a large deformation or a discontinuous deformation. Since the process must be executed sequentially, image by image, the total time required is often unacceptably large when the image sequence is long. The challenge is to find a way of improving the speed while retaining calculational reliability and measurement accuracy, which are important for the practical application of DIC. To address this problem, an improved method is proposed in this paper. The parallel bottleneck caused by the decorrelation effect is solved through improving the parallelism to increase the processing speed. This approach can be used to calculate the strain field of the surface of the material in cases of discontinuous deformation, such as in the area near to a crack. Compared with existing methods, this method not only retains the calculational reliability but also greatly improves calculation speed, especially on current multi-core computing platforms.

Investigation on Micro-Tensile Test System Platform Used for Test of the Weld

2016 ◽  
Vol 725 ◽  
pp. 55-59
Author(s):  
Tian Ye ◽  
Bu Shen Zhang ◽  
Jie Jian Liu ◽  
Tao Suo
Keyword(s):  
Mechanical Properties ◽  
Digital Image Correlation ◽  
Tensile Test ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Electron Beam Welding ◽  
Correlation Method ◽  
Test System ◽  
Image Correlation ◽  
Digital Image Correlation Method

In this paper, the mechanical properties of electron beam welding TC4 titanium alloy in different regions of the welded joint were studied by using the Micro-tensile test device and digital image correlation method. In the research, the problem of sample's gripping, strain measurement accuracy, load measurement and lens distortion verification are solved. The main work is as follows: The digital image correlation method, which is non-contact, full field measurement, simple, easy operation and high accuracy, is used to measure the strain of the micro tensile specimen, the fine speckle technique for micro mechanical property testing is developed, furthermore, the measurement accuracy of the digital image correlation method for the micro sample is discussed. Finally, the Micro-tensile test system platform is built which can be used to test the micro mechanical properties of the weld.

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