粘弹性球在有限变形刚性平面上的滚动摩擦

IF 2.2 3区 工程技术 Q2 MECHANICS
Iván E. Rango, Fernando S. Buezas, Elbio D. Palma
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引用次数: 0

摘要

在这项工作中,我们研究了在刚性平面上的大非线性变形下控制粘弹性球运动的滚动摩擦机制。该研究基于参考坐标下的三维连续模型,假设具有牛顿内摩擦的Saint Venant-Kirchhoff材料,并在接触界面处补充适当的边界条件。该模型在空间上使用有限元进行离散化,并随时间从初始条件进行后续演化。在量纲分析的帮助下,设计了几个额外的数值实验,研究了滚动摩擦系数(RFC)与模型参数(如滚动速度、接触载荷和材料性能)的关系。结果表明,RFC与接触载荷和球尺寸近似成正比,并随滚动速度线性增大。与以往的研究相比,该模型表明RFC随泊松比的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rolling friction of a viscoelastic sphere on a rigid plane in finite deformation

In this work, we study the mechanism of rolling friction that controls the movement of a viscoelastic sphere under large nonlinear deformations over a rigid plane. The study is based on a three-dimensional continuous model formulated in referential coordinates, assuming a Saint Venant–Kirchhoff material with Newtonian internal friction and complemented by appropriate boundary conditions at the contact interface. The model is discretized spatially using finite elements, and its subsequent evolution from initial conditions is followed over time. Several additional numerical experiments, designed with the aid of dimensional analysis, investigate the dependence of the rolling friction coefficient (RFC) on model parameters such as rolling velocity, contact load, and material properties. The results show that the RFC is approximately proportional to the contact load and sphere size and increases linearly with rolling velocity. In contrast to previous studies, the model shows that the RFC increases with the Poisson’s ratio.

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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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