scholarly journals Experimental validation of numerical model for asymmetric deep drawing of DP780 steel sheet using digital image correlation

2016 ◽  
Vol 734 ◽  
pp. 032102
Author(s):  
X Xue ◽  
J Liao ◽  
G Vincze ◽  
A B Pereira
Keyword(s):  
Numerical Model ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Deep Drawing ◽  
Steel Sheet ◽  
Experimental Validation ◽  
Image Correlation ◽  
Dp780 Steel

scholarly journals NUMERICAL PREDICTIONS AND MECHANICAL TESTING OF BRAIDED COMPOSITE STRUCTURES UTILISING DIGITAL IMAGE CORRELATION

2016 ◽  
Vol 7 ◽  
pp. 43
Author(s):  
Emil Pitz ◽  
Matei-Constantin Miron ◽  
Imre Kállai ◽  
Zoltán Major
Keyword(s):  
Numerical Model ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Composite Structures ◽  
Experimental Testing ◽  
Single Layer ◽  
Failure Criteria ◽  
Image Correlation ◽  
Braided Composites ◽  
Numerical Predictions

The current paper is describing the implementation of a multiscale numerical model for prediction of stiffness and strength in braided composites. The model is validated by experimental testing of single-layer braided tubes under torsional loading utilising digital image correlation (DIC). For the numerical model the entire braided structure is modelled at yarn detail level, taking into account the yarn behaviour as well as individual yarn-to-yarn interactions by using cohesive contact definitions. By means of Hashin’s failure criteria and cohesive contact damage, failure of the yarns and failure of the yarn-to-yarn interface is being accounted for. Thereby the material failure behaviour can be predicted. For validation of the model, torsion tests of biaxially braided single-layer composite tubes were performed. The strain distribution at the specimen surface was studied using the DIC system ARAMIS in 3D mode.

scholarly journals Validation of a Numerical Bending Model for Sandwich Beams with Textile-Reinforced Cement Faces by Means of Digital Image Correlation

2019 ◽  
Vol 9 (6) ◽  
pp. 1253 ◽  
Author(s):  
Jolien Vervloet ◽  
Tine Tysmans ◽  
Michael El Kadi ◽  
Matthias De Munck ◽  
Panagiotis Kapsalis ◽  
...  
Keyword(s):  
Numerical Model ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Numerical Models ◽  
Sandwich Panels ◽  
Surface Strain ◽  
Image Correlation ◽  
Four Point Bending ◽  
Reinforced Cement ◽  
Correlation System

Sandwich panels with textile-reinforced cement (TRC) faces merge both structural and insulating performance into one lightweight construction element. To design with sandwich panels, predictive numerical models need to be thoroughly validated, in order to use them with high confidence and reliability. Numerical bending models established in literature have been validated by means of local displacement measurements, but are missing a full surface strain validation. Therefore, four-point bending tests monitored by a digital image correlation system were compared with a numerical bending model, leading to a thorough validation of that numerical model. Monitoring with a digital image correlation (DIC) system gave a highly detailed image of behaviour during bending and the strains in the different materials of the sandwich panel. The measured strains validated the numerical model predictions of, amongst others, the multiple cracking of the TRC tensile face and the shear deformation of the core.

scholarly journals Validation of Numerical Model by Means of Digital Image Correlation and Thermography

2015 ◽  
Vol 101 ◽  
pp. 450-458 ◽  
Author(s):  
Ivica Skozrit ◽  
Joško Frančeski ◽  
Zdenko Tonković ◽  
Martin Surjak ◽  
Lovre Krstulović-Opara ◽  
...  
Keyword(s):  
Numerical Model ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation

OS0410 Evaluation of Stress Triaxiality and Fracture Strain of Automotive Steel Sheet Using Digital Image Correlation

2016 ◽  
Vol 2016.22 (0) ◽  
pp. _OS0410-1_-_OS0410-2_
Author(s):  
Daichi KANAZAWA ◽  
Satoru YONEYAMA ◽  
Kuniharu USHIJIMA ◽  
Junya NAITO ◽  
Shota CHINZEI
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Steel Sheet ◽  
Fracture Strain ◽  
Stress Triaxiality ◽  
Image Correlation ◽  
Automotive Steel

Digital image correlation method for measuring deformations of vinyl chloride-coated metal multilayer sheets

2019 ◽  
Vol 33 (05) ◽  
pp. 1950050 ◽  
Author(s):  
Dehai Zhang ◽  
Yanqin Li ◽  
Guizhong Xie ◽  
Duanqin Zhang ◽  
Shen Wu ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Vinyl Chloride ◽  
Digital Image ◽  
Deep Drawing ◽  
Steel Plate ◽  
Three Dimensional ◽  
Correlation Method ◽  
Image Correlation ◽  
3D Digital Image Correlation ◽  
Coated Metal

A three-dimensional (3D) digital image correlation (DIC) method is presented for measuring the deformations of vinyl chloride-coated metal (VCM) multilayer sheets and their composites. The calculations and the principle of strain and deformation measurements using the DIC method are described. A VCM multilayer sheet consists of a substrate [steel plate cold commercial (SPCC) and steel plate cold elongation (SPCE)] and a clad (a VCM film). The corresponding deformations of VCM deep-drawing multilayer sheets (SPCE as a substrate and a VCM film as a clad), VCM nondeep-drawing multilayer sheets (SPCC as a substrate and a VCM film as a clad), nondeep-drawing substrates (SPCC), deep-drawing substrates (SPCE) and clads (VCM films) were captured along the x- and y-directions in uniaxial tension experiments and using the DIC method. The maximal measured strains along the x-direction for the VCM deep-drawing multilayer sheets, VCM nondeep-drawing multilayer sheets, nondeep-drawing substrates, deep-drawing substrates and clads were, respectively, 637.835%, 132.210%, 31.688.632%, 107.102%, and 118.937%. The maximal measured strains along the [Formula: see text]-direction were 739.028%, −11.174%, −9.678%, −13.273% and 12.120%, respectively. These data show that the mechanical properties of VCM multilayer sheets are better than those of their substrates and clads. The effectiveness and accuracy of the presented DIC method for VCM multilayer sheet measurements were confirmed in a series of experiments.

Sign in / Sign up

Export Citation Format

Share Document