Load-separation curves for the contact of self-affine rough surfaces.
Author(s)
Papangelo, A
Hoffmann, N
Ciavarella, M
Type
Journal Article
Abstract
There are two main approximate theories in the contact of rough solids: Greenwood-Williamson asperity theories (GW) and Persson theories. Neither of them has been fully assessed so far with respect to load-separation curves. Focusing on the most important case of low fractal dimension (D f = 2.2) with extensive numerical studies we find that: (i) Persson's theory describes well the regime of intermediate pressures/contact area, but requires significant corrective factors: the latter depend also on upper wavevector cutoff of the roughness; hence, (ii) Persson's theory does not predict the correct functional dependence on magnification; (iii) asperity theories in the discrete version even neglecting interaction effects are more appropriate in the range of relatively large separations, also to take into consideration of the large scatter in actual realization of the surface.
Date Issued
2017-07-31
Date Acceptance
2017-06-27
Citation
Scientific Reports, 2017, 7 (1)
ISSN
2045-2322
Publisher
Nature Publishing Group
Journal / Book Title
Scientific Reports
Volume
7
Issue
1
Copyright Statement
© 2017 The Author(s). Open Access
This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre-
ative Commons license, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not per-
mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this license, visit
http://creativecommons.org/licenses/by/4.0/.
This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre-
ative Commons license, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not per-
mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this license, visit
http://creativecommons.org/licenses/by/4.0/.
Sponsor
Rolls-Royce Plc
Rolls-Royce Plc
Rolls-Royce Plc
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/28761122
PII: 10.1038/s41598-017-07234-4
Grant Number
See Further Information
P/O 4600184596
4600195672
Publication Status
Published
Coverage Spatial
England
Article Number
6900