Image-based analysis of uniaxial ring test for mechanical characterization of soft materials and biological tissues. Issue 16 (29th March 2019)

• Record Type: Journal Article
• Authors: van Haaften, Eline E.; van Turnhout, Mark C.; Kurniawan, Nicholas A.
• Is Part Of: Soft matter. Volume 15:Issue 16(2019)
• Page Start: 3353
• Page End: 3361
• Publication Date: 2019-03-29
• Subjects: Soft condensed matter -- Periodicals; 530.413
• DOI: 10.1039/c8sm02343c
• Languages: English
• ISSNs: 1744-683X

Abstract

Abstract : We propose a simple image-based analysis approach to accurately estimate the mechanical properties of ring-shaped materials. 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.