Biological adhesion, in particular the mechanisms by which animals and plants ‘stick’ to surfaces, has been widely studied in recent years, and some of the structural principles have been successfully applied to bioinspired adhesives. However, modelling of adhesion such as in single or multiple peeling theories, have in most cases been limited to ideal cases, and due consideration of the role of substrate geometry and mechanical properties has been limited. In this paper, we propose a numerical model to evaluate these effects, including substrate roughness, patterning, curvature, and deformability. The approach is validated by comparing its predictions with classical thin film peeling theoretical model results, and then is used to predict the effects of substrate properties. These results can provide deeper insight into the experimentally obtained results, and the developed model is a useful tool to design and optimize artificial adhesives with tailor-made characteristics

The influence of substrate roughness, patterning, curvature and compliance in peeling problems

Brely, L.;Bosia, F.;
2018-01-01

Abstract

Biological adhesion, in particular the mechanisms by which animals and plants ‘stick’ to surfaces, has been widely studied in recent years, and some of the structural principles have been successfully applied to bioinspired adhesives. However, modelling of adhesion such as in single or multiple peeling theories, have in most cases been limited to ideal cases, and due consideration of the role of substrate geometry and mechanical properties has been limited. In this paper, we propose a numerical model to evaluate these effects, including substrate roughness, patterning, curvature, and deformability. The approach is validated by comparing its predictions with classical thin film peeling theoretical model results, and then is used to predict the effects of substrate properties. These results can provide deeper insight into the experimentally obtained results, and the developed model is a useful tool to design and optimize artificial adhesives with tailor-made characteristics
2018
13
2
026004-1
026004-11
https://iopscience.iop.org/article/10.1088/1748-3190/aaa0e5
adhesion, substrate properties, numerical simulation
Brely, L.; Bosia, F.; Pugno, N. M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1655562
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