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A criterion for the effective work of adhesion in loading and unloading of adhesive soft solids from rough surfaces
Citation Link: https://doi.org/10.15480/882.3376
Publikationstyp
Journal Article
Publikationsdatum
2021-01-08
Sprache
English
Author
Papangelo, Antonio
Institut
TORE-URI
Enthalten in
Volume
69
Issue
1
Article Number
9
Citation
Tribology Letters 1 (69): 9 (2021)
Publisher DOI
Scopus ID
Publisher
Springer International Publishing
Recently, Dalvi and co-authors have shown detailed experimental data of adhesion of soft spheres with rough substrates with roughness measured down to almost the atomic scale, finding that the Persson and Tosatti theory gave satisfactory predictions of the apparent work of adhesion during loading, once the increase of the surface area due to roughness is correctly computed at extremely small scales. We show that unloading data would show similar correlation with the Persson–Tosatti’s simple criterion, but for a much larger effective work of adhesion, which therefore becomes not an “intrinsic” property. This suggests either strong hysteresis even at apparently very low peeling velocities or the need to use a criterion that has different behavior during loading and unloading. We attempt this inspired by the results of Guduru for a simple case of axisymmetric waviness, and a much better fit of the experimental data by Dalvi and co-authors is obtained using the entire set of data at loading and unloading, even assuming a single work of adhesion value. However, we cannot rule out that both (viscoelastic) and (roughness-induced) enhancement effects coexist in these data.
Schlagworte
Adhesion
Persson and Tosatti’s model
Roughness
Soft matter
Stickiness
DDC Class
670: Industrielle Fertigung
Funding Organisations
More Funding Information
AP and MC acknowledge the support by the Italian Ministry of Education, University and Research under the Programme Department
of Excellence Legge 232/2016 (Grant No. CUP-D94I18000260001). A.P. is thankful to the DFG (German Research Foundation) for
funding the project PA 3303/1-1. A.P. acknowledges support from “PON Ricerca e Innovazione 2014-2020-Azione I.2” - D.D. n. 407,
27/02/2018, bando AIM (Grant No. AIM1895471). A.P. is thankful to TuTech Innovation Gmbh for having supported this research.
of Excellence Legge 232/2016 (Grant No. CUP-D94I18000260001). A.P. is thankful to the DFG (German Research Foundation) for
funding the project PA 3303/1-1. A.P. acknowledges support from “PON Ricerca e Innovazione 2014-2020-Azione I.2” - D.D. n. 407,
27/02/2018, bando AIM (Grant No. AIM1895471). A.P. is thankful to TuTech Innovation Gmbh for having supported this research.