4.5 Article

Quantitative Strain Analysis of the Large Deformation at the Scale of Microstructure: Comparison between Digital Image Correlation and Microgrid Techniques

Journal

EXPERIMENTAL MECHANICS
Volume 52, Issue 9, Pages 1483-1492

Publisher

SPRINGER
DOI: 10.1007/s11340-012-9612-6

Keywords

Mechanical testing; Digital image correlation; Microgrid; Interstitial free (IF) steel

Funding

  1. Research Program of the Materials innovation institute M2i [M41.2.10398]
  2. EPSRC [EP/F023464/1]
  3. EPSRC [EP/F023464/1] Funding Source: UKRI
  4. Engineering and Physical Sciences Research Council [EP/F023464/1] Funding Source: researchfish

Ask authors/readers for more resources

A comparative study has been carried out to assess the accuracy of the Digital Image Correlation (DIC) technique for the quantification of large strains in the microstructure of an Interstitial Free (IF) steel used in automotive applications. A microgrid technique has been used in this study in order to validate independently the strain measurements obtained with DIC. Microgrids with a pitch of 5 microns were printed on the etched microstructure of the IF steel to measure the local in-plane strain distribution during a tensile test carried out in a Scanning Electron Microscope (SEM). The progressive deformation of the microstructure with microgrids has been recorded throughout the test as a sequence of micrographs and subsequently processed using DIC to quantify the distribution of local strain values. Strain maps obtained with the two techniques have been compared in order to assess the accuracy of the DIC measurements obtained using the natural patterns of the revealed microstructure in the SEM micrographs. The results obtained with the two techniques are qualitatively similar and thus, demonstrate the reliability of DIC applied to microstructures, even after large deformations in excess of 0.7. However, an average error of about 16 % was found in the strain values calculated using DIC.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available