126
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Numerical analysis on the adhesive contact between a rigid power-law shaped axisymmetric asperity and an elastic half-space

ORCID Icon
Pages 195-219 | Received 20 Jan 2021, Accepted 08 Apr 2021, Published online: 14 May 2021
 

Abstract

There exist many well-known analytical models for adhesive contact for spherical asperities. However, in many situations, the asperities are not spherical and may be better described by a power-law function. Thus, these well-known analytical models were extended to power-law-shaped axisymmetric asperities in the past decades. In this paper, numerical simulation is employed for the adhesive contact between a rigid power-law axisymmetric asperity and an elastic half-space. The realistic Lennard-Jones potential and the Derjaguin approximation are used for the surface traction. Numerical simulations are performed with different shape indexes and different Tabor parameters. The whole solution is obtained. Semi-empirical formulas for the pull-off forces, the contact radius at zero loads, the jump-in distance, and the pull-off distance are proposed. All these equations are both simple and as accurate as of the numerical simulations.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 There are misprints in Zheng and Yu’s paper [24].

2 There are misprints in Zheng and Yu’s paper [24].

Additional information

Funding

The present work was financially supported by the Ministry of Science and Technology, Taiwan under grant [MOST 109-2221-E-182-010].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 432.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.