• DOI:10.1063/1.5143062
• Corpus ID: 208527696

A simple generalization of Prandtl–Tomlinson model to study nanoscale rolling friction

@article{Sircar2020ASG,
  title={A simple generalization of Prandtl–Tomlinson model to study nanoscale rolling friction},
  author={Avirup Sircar and Puneet Kumar Patra},
  journal={Journal of Applied Physics},
  year={2020}
}

• Avirup Sircar, P. Patra
• Published 30 November 2019
• Physics
• Journal of Applied Physics

Prandtl-Tomlinson (PT) model has been very successful in explaining nanoscale friction in a variety of situations. However, the simplistic PT model, on account of having a point mass being dragged across a sinusoidal force field, cannot be used for studying rolling friction at nanoscales. In this manuscript, we generalize the PT model as a collection of point particles arranged in a circle of radius $R$. The resulting ``rigid body'' is driven in a composite force field by a moving spring (of stiffness $k$) connected to the center of mass of the rigid body in presence of damping. The force field is a product of the familiar sinusoidal function used in the PT model with a parametrically controlled ($\lambda$) exponentially varying function that is dependent on the vertical coordinates of the particles. Our generalized model degenerates to the standard PT model if $R \ll 1$ and $\lambda \to 0$. With $R \sim 1$ and $\lambda \to 0$, the model undergoes a transition from sticky dynamics to smooth dynamics as $k$ is increased to a critical value. The analytical expression agrees well with the simulation results. Similar analytical expressions have been derived for $ \lambda \neq 0$ as well. In this scenario, the sticky dynamics is experienced in both $x$ and $y$ directions, and our numerical results agree with the analytical solution for $x$ direction. The dynamics, investigated numerically for the general case of $R \sim 1$ and $\lambda \neq 0$, reveals several interesting aspects of nanoscale tribology including the regimes where energy dissipation due to friction is minimum. Further the results from our proposed model are in qualitative agreement with those from MD simulations as well. We believe that the simplicity of our model along with its similarity to the PT model may make it a popular tool for analyzing complicated nanotribological regimes.