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Automated analysis of soft material microindentation

Henry E. Symons
•
Agostino Galanti
•
Joseph C. Surmon
altro
Pierangelo Gobbo
2022
  • journal article

Periodico
SOFT MATTER
Abstract
An understanding of the mechanical properties of soft hydrogel materials over multiple length scales is important for their application in many fields. Typical measurement methods provide either bulk mechanical properties (compression, tensile, rheology) or probing of nano or microscale properties and heterogeneity (nanoindentation, AFM). In this work we demonstrate the complementarity of instrumented microindentation to these techniques, as it provides representative Young's moduli for soft materials with minimal influence of the experimental parameters chosen, and allows mechanical property mapping across macroscopic areas. To enable automated analysis of the large quantities of data required for these measurements, we develop a new fitting algorithm to process indentation data. This method allows for the determination of Young's moduli from imperfect data by automatic selection of a region of the indentation curve which does not display inelastic deformation or substrate effects. We demonstrate the applicability of our approach with a range of hydrogels, including materials with patterns and gradients in stiffness, and expect the techniques described here to be useful developments for the mechanical analysis of a wide range of soft and biological systems.
DOI
10.1039/D2SM00857B
WOS
WOS:000872131900001
Archivio
https://hdl.handle.net/11368/3034181
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85141493201
https://pubs.rsc.org/en/content/articlelanding/2022/sm/d2sm00857b
Diritti
open access
license:creative commons
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3034181/1/d2sm00857b.pdf
Soggetti
  • Indentation

  • hydrogel

  • mechanical propertie

  • soft material

  • Young's modulu

  • data analysis

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