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Atomistic Mechanism of Friction-Force Independence on the Normal Load and Other Friction Laws for Dynamic Structural Superlubricity.
Brilliantov, Nikolay V; Tsukanov, Alexey A; Grebenko, Artem K; Nasibulin, Albert G; Ostanin, Igor A.
Afiliación
  • Brilliantov NV; Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
  • Tsukanov AA; Department of Mathematics, University of Leicester, Leicester LE1 7RH, United Kingdom.
  • Grebenko AK; Research and Development Center, TerraVox Global, Paphos, Cyprus.
  • Nasibulin AG; Centre for Advanced 2D Materials, National University of Singapore, Singapore.
  • Ostanin IA; Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Phys Rev Lett ; 131(26): 266201, 2023 Dec 29.
Article en En | MEDLINE | ID: mdl-38215361
ABSTRACT
We explore dynamic structural superlubricity for the case of a relatively large contact area, where the friction force is proportional to the area (exceeding ∼100 nm^{2}) experimentally, numerically, and theoretically. We use a setup composed of two molecular smooth incommensurate surfaces graphene-covered tip and substrate. The experiments and molecular dynamic simulations demonstrate independence of the friction force on the normal load for a wide range of normal loads and relative surface velocities. We propose an atomistic mechanism for this phenomenon, associated with synchronic out-of-plane surface fluctuations of thermal origin, and confirm it by numerical experiments. Based on this mechanism, we develop a theory for this type of superlubricity and show that friction force increases linearly with increasing temperature and relative velocity for velocities larger than a threshold velocity. The molecular dynamic results are in a fair agreement with predictions of the theory.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2023 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2023 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Estados Unidos