Non-Uniqueness in Anand Model Parameters Estimated for SnCu Solder Using Digital Image Correlation and Virtual Fields Method

2020 ◽  
Author(s):  
S. N. Grama ◽  
N. Iniyan Thiruselvam ◽  
S. J. Subramanian
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Model Parameters ◽  
Virtual Fields Method

Local Elasto-Plastic Identification of the Behaviour of Friction Stir Welds with the Virtual Fields Method

2011 ◽  
Vol 70 ◽  
pp. 135-140 ◽  
Author(s):  
G. Le Louëdec ◽  
M.A. Sutton ◽  
Fabrice Pierron
Keyword(s):  
Mechanical Properties ◽  
Digital Image Correlation ◽  
Digital Image ◽  
High Speed ◽  
Weld Zone ◽  
Spatial Variations ◽  
Image Correlation ◽  
Virtual Fields Method ◽  
Full Field ◽  
Friction Stir

Welding is one of the most popular joining technologies in industry. Depending on the materials to be joined, the geometry of the parts and the number of parts to be joined, there is a wide variety of methods that can be used. These joining techniques share a common feature: the material in the weld zone experiences different thermo-mechanical history, resulting in significant variations in material microstructure and spatial heterogeneity in mechanical properties. To optimize the joining process, or to refine the design of welded structures, it is necessary to identify the local mechanical properties within the different regions of the weld. The development of full-field kinematic measurements (digital image correlation, speckle interferometry, etc.) helps to shed a new light on this problem. The large amount of experimental information attained with these methods makes it possible to visualize the spatial distribution of strain on the specimen surface. Full-field kinematic measurements provide more information regarding the spatial variations in material behaviour. As a consequence, it is now possible to quantify the spatial variations in mechanical properties within the weld region through a properly constructed inverse analysis procedure. High speed tensile tests have been performed on FSW aluminium welds. The test was performed on an MTS machine at a cross-head speed of up to 76 mm/s. Displacement fields were measured across the specimen by coupling digital image correlation with a high-speed camera (Phantom V7.1) taking 1000 frames per second. Then, through the use of the virtual fields method it is possible to retrieve the mechanical parameters of the different areas of the weld from the strain field and the loading. The elastic parameters (Young’s modulus and Poisson’s ratio) are supposed to be constant through the weld. Their identification was carried out using the virtual fields method in elasticity using the data of the early stage of the experiment. Assuming that the mechanical properties (elastic and plastic) of the weld are constant through the thickness, the plastic parameters were identified on small sections through the specimen, using a simple linear hardening model. This method leads to a discrete identification of the evolution of the mechanical properties through the weld. It allows the understanding of the slight variations of yield stress and hardening due to the complexity of the welding process.

Identification of the elastic stiffness of composites using the virtual fields method and digital image correlation

2015 ◽  
Vol 31 (2) ◽  
pp. 173-180 ◽  
Author(s):  
Lebin Jiang ◽  
Baoqiao Guo ◽  
Huimin Xie
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Elastic Stiffness ◽  
Image Correlation ◽  
Virtual Fields Method

scholarly journals Identification of plastic stress-strain parameters by global digital image correlation, the virtual fields method and the total strain theory

2016 ◽  
Vol 3 (6) ◽  
pp. 16-00106-16-00106
Author(s):  
Shun HAMADA ◽  
Keita JINNO ◽  
Shuichi ARIKAWA ◽  
Satoru YONEYAMA
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Strain Theory ◽  
Image Correlation ◽  
Total Strain ◽  
Virtual Fields Method ◽  
Stress Strain ◽  
Plastic Stress

Identification of Material Parameters of PVC Foams using Digital Image Correlation and the Virtual Fields Method

2012 ◽  
Vol 53 (6) ◽  
pp. 1001-1015 ◽  
Author(s):  
P. Wang ◽  
F. Pierron ◽  
O. T. Thomsen
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Virtual Fields Method ◽  
Material Parameters
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