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Tribology Letters

, 67:54 | Cite as

Adhesive Contact of Model Randomly Rough Rubber Surfaces

  • Vito Acito
  • Michele Ciavarella
  • Alexis M. Prevost
  • Antoine ChateauminoisEmail author
Original Paper
  • 42 Downloads

Abstract

We study experimentally and theoretically the equilibrium adhesive contact between a smooth glass lens and a rough rubber surface textured with spherical microasperities with controlled height and spatial distributions. Measurements of the real contact area A versus load P are performed under compression by imaging the light transmitted at the microcontacts. A(P) is found to be non-linear and to strongly depend on the standard deviation of the asperity height distribution. Experimental results are discussed in the light of a discrete version of Fuller and Tabor’s (FT) original model (Proc R Soc A 345:327, 1975), which allows to take into account the elastic coupling arising from both microasperities interactions and curvature of the glass lens. Our experimental data on microcontact size distributions are well captured by our discrete extended model. We show that the elastic coupling arising from the lens curvature has a significant contribution to the A(P) relationship. Our discrete model also clearly shows that the adhesion-induced effect on A remains significant even for vanishingly small pull-off forces. Last, at the local asperity length scale, our measurements show that the pressure dependence of the microcontacts density can be simply described by the original FT model.

Keywords

Adhesive contact Randomly rough surfaces Silicone rubber Fuller and Tabor theory JKR theory 

Notes

Acknowledgements

The authors wish to thank Guido Violano for his kind help in the obtention of some of the experimental data.

Supplementary material

11249_2019_1164_MOESM1_ESM.pdf (164 kb)
Electronic supplementary material 1 (PDF 164 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Soft Matter Sciences and Engineering LaboratoryPSL Research University, Sorbonne Université, ESPCI Paris, CNRSParisFrance
  2. 2.Politecnico di Bari, Centre for Excellence in Computational MechanicsBariItaly
  3. 3.Laboratoire Jean Perrin, CNRS UMR 8237Sorbonne UniversitéParisFrance

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