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Issue 16, 2019
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Image-based analysis of uniaxial ring test for mechanical characterization of soft materials and biological tissues

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Abstract

Uniaxial ring test is a widely used mechanical characterization method for a variety of materials, from industrial elastomers to biological materials. Here we show that the combination of local material compression, bending, and stretching during uniaxial ring test results in a geometry-dependent deformation profile that can introduce systematic errors in the extraction of mechanical parameters. We identify the stress and strain regimes under which stretching dominates and develop a simple image-based analysis approach that eliminates these systematic errors. We rigorously test this approach computationally and experimentally, and demonstrate that we can accurately estimate the sample mechanical properties for a wide range of ring geometries. As a proof of concept for its application, we use the approach to analyze explanted rat vascular tissues and find a clear temporal change in the mechanical properties of these explants after graft implantation. The image-based approach can therefore offer a straightforward, versatile, and accurate method for mechanically characterizing new classes of soft and biological materials.

Graphical abstract: Image-based analysis of uniaxial ring test for mechanical characterization of soft materials and biological tissues

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Publication details

The article was received on 16 Nov 2018, accepted on 15 Mar 2019 and first published on 25 Mar 2019


Article type: Paper
DOI: 10.1039/C8SM02343C
Citation: Soft Matter, 2019,15, 3353-3361

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    Image-based analysis of uniaxial ring test for mechanical characterization of soft materials and biological tissues

    E. E. van Haaften, M. C. van Turnhout and N. A. Kurniawan, Soft Matter, 2019, 15, 3353
    DOI: 10.1039/C8SM02343C

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