An approximate model for the adhesive contact of rough viscoelastic surfaces

Physics – Condensed Matter – Soft Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Surface roughness is known to easily suppress the adhesion of elastic surfaces. Here a simple model for the contact of \emph{viscoelastic} rough surfaces with significant levels of adhesion is presented. This approach is derived from our previous model [E. Barthel and G. Haiat {\em Langmuir}, 18 9362 2002] for the adhesive contact of viscoelastic spheres. For simplicity a simple loading/unloading history (infinitely fast loading and constant pull-out velocity) is assumed. The model provides approximate analytical expressions for the asperity response and exhibits the full viscoelastic adhesive contact phenomenology such as stress relaxation inside the contact zone and creep at the contact edges. Combining this model with a Greenwood-Williamson statistical modeling of rough surfaces, we propose a quantitative assessment of the adhesion to rough viscoelastic surfaces. We show that moderate viscoelasticity efficiently restores adhesion on rough surfaces over a wide dynamic range.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An approximate model for the adhesive contact of rough viscoelastic surfaces does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An approximate model for the adhesive contact of rough viscoelastic surfaces, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An approximate model for the adhesive contact of rough viscoelastic surfaces will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-470096

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.