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Even though the slipperiness of ice is important both technologically and environmentally and often experienced in everyday life, the nanoscale processes determining ice friction are still unclear. We study the friction of a smooth ice–ice interface using atomistic simulations, and especially consider the effects of temperature, load, and sliding velocity. At this scale, frictional behavior is seen to be determined by the lubricating effect of a liquid premelt layer between the sliding ice sheets. In general, increasing temperature or load leads to a thicker lubricating layer and lower friction, while increasing the sliding velocity increases friction due to viscous shear.


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Atomistic simulations of friction at an ice−ice interface

Show Author's information N. SAMADASHVILI1,*( )B. REISCHL1T. HYNNINEN1,2T. ALA-NISSILÄ1A. S. FOSTER1
COMP Centre of Excellence, Aalto University School of Science, Department of Applied Physics, P.O. Box 11100, FI-00076 Aalto, Finland
Department of Physics, Tampere University of Technology, P.O. Box 692, FI-33101 Tampere, Finland

Abstract

Even though the slipperiness of ice is important both technologically and environmentally and often experienced in everyday life, the nanoscale processes determining ice friction are still unclear. We study the friction of a smooth ice–ice interface using atomistic simulations, and especially consider the effects of temperature, load, and sliding velocity. At this scale, frictional behavior is seen to be determined by the lubricating effect of a liquid premelt layer between the sliding ice sheets. In general, increasing temperature or load leads to a thicker lubricating layer and lower friction, while increasing the sliding velocity increases friction due to viscous shear.

Keywords: friction, molecular dynamics, ice, nanoscale, TIP4P/ice

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Publication history

Received: 20 May 2013
Revised: 19 July 2013
Accepted: 05 August 2013
Published: 05 September 2013
Issue date: September 2013

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© The author(s) 2013

Acknowledgements

This research has been supported by the Academy of Finland through its Centres of Excellence Program (project no. 251748). We acknowledge very useful discussions with the members of the FANAS network, as well as the computational resources offered by CSC, Finland.

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