Large In-plane Deformation Mapping and Determination of Young’s Modulus of Rubber Using Scanner-Based Digital Image Correlation

Abstract All-cellulose composites (ACCs) were prepared from filter paper via partial dissolution in the ionic liquid 1-ethyl-3-methylimidazolium acetate, and material tensile properties were investigated using various approaches. One is based on data directly taken from a tensile testing machine, and the other uses two-cameras stereovision with digital image correlation (DIC) technique. In the latter case, virtual extensometer with different locations on the sample and averaging over sample surface were tested. Nominal and true stress–strain dependences were built and Young's modulus, tensile strength, elongation at maximal stress and toughness were evaluated as a function of ACC density. A minor difference was observed for the stress–strain dependences derived from different approaches which use the DIC technique, most probably because of low ACC deformation. However, the results reveal that the nominal stress–strain curve from DIC is significantly different from that which is directly derived from the data provided by machine sensors thus strongly impacting Young’s modulus and elongation at break values. This study provides an insight into the evaluation of the mechanical properties of ACCs. Graphic abstract

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Identification of the Young's modulus of PTFE at different temperatures via Digital Image Correlation

10.26678/abcm.cobef2019.cof2019-0505 ◽

2019 ◽

Author(s):

Matheus Freire Garcia ◽

Caiuã Melo, C. C. ◽

Vinicius Sciuti ◽

Gabriel Guenoun ◽

Nikolaus SCHMITT ◽

...

Keyword(s):

Digital Image Correlation ◽

Young’S Modulus ◽

Digital Image ◽

Young's Modulus ◽

Image Correlation ◽

Different Temperatures

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Measurement of the Young's modulus of thin or flexible specimen with digital-image correlation method

10.1117/12.468877 ◽

2002 ◽

Author(s):

Lianyun Xu ◽

Zhende Hou ◽

Yuwen Qin

Keyword(s):

Digital Image Correlation ◽

Young’S Modulus ◽

Digital Image ◽

Young's Modulus ◽

Correlation Method ◽

Image Correlation ◽

Digital Image Correlation Method

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Applying digital image correlation to wood strands: Influence of loading rate and specimen thickness

Holzforschung ◽

10.1515/hf.2010.110 ◽

2010 ◽

Vol 64 (6) ◽

Cited By ~ 11

Author(s):

Gi Young Jeong ◽

Audrey Zink-Sharp ◽

Daniel P. Hindman

Keyword(s):

Digital Image Correlation ◽

Young’S Modulus ◽

Digital Image ◽

Poisson’S Ratio ◽

Loading Rate ◽

Young's Modulus ◽

Image Correlation ◽

Poisson's Ratio ◽

Specimen Thickness ◽

Loading Rates

Abstract Previous studies were devoted to various applications of digital image correlation (DIC) to wood and wood-based composites. However, the focus of these studies was qualitative strain distribution. Overall, there is a lack of testing protocols of DIC for quantifying the elastic properties of woody materials. The objective of this study was to investigate the effects of different specimen thicknesses and loading rates on measurement of Young's modulus and Poisson's ratio by DIC. Young's modulus from DIC decreased as thickness increased at a loading rate of 0.254 mm min-1. Comparing the different loading rates at a thickness of 0.794 mm, Young's modulus from DIC was not in agreement with the value obtained by means of the extensometer regardless of loading rate. However, Young's modulus from DIC at a thickness of 0.381 mm and a loading rate of 0.254 mm min-1 was in good agreement with the corresponding Young's modulus obtained by an extensometer. Poisson's ratio measured from different loading rates and specimen thicknesses was not significantly different between the two measurement systems. From the testing arrangement applied for this study, it is recommended that DIC should be applied at a loading rate of 0.254 mm min-1 or slower for strands with a thickness of 0.381 mm or less.

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