Critical length scale controls adhesive wear mechanisms
Ramin Aghababaei,
Derek H. Warner and
Jean-Francois Molinari ()
Additional contact information
Ramin Aghababaei: Institute of Civil Engineering, Institute of Materials Science and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Derek H. Warner: School of Civil and Environmental Engineering, Cornell University
Jean-Francois Molinari: Institute of Civil Engineering, Institute of Materials Science and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Nature Communications, 2016, vol. 7, issue 1, 1-8
Abstract:
Abstract The adhesive wear process remains one of the least understood areas of mechanics. While it has long been established that adhesive wear is a direct result of contacting surface asperities, an agreed upon understanding of how contacting asperities lead to wear debris particle has remained elusive. This has restricted adhesive wear prediction to empirical models with limited transferability. Here we show that discrepant observations and predictions of two distinct adhesive wear mechanisms can be reconciled into a unified framework. Using atomistic simulations with model interatomic potentials, we reveal a transition in the asperity wear mechanism when contact junctions fall below a critical length scale. A simple analytic model is formulated to predict the transition in both the simulation results and experiments. This new understanding may help expand use of computer modelling to explore adhesive wear processes and to advance physics-based wear laws without empirical coefficients.
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/ncomms11816 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11816
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms11816
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().