论文标题
由于耕作而导致动态摩擦系数的多尺度研究
Multiscale study of the dynamic friction coefficient due to asperity plowing
论文作者
论文摘要
宏观标称的平坦表面在纳米级水平上是粗糙的,由纳米疗法组成。因此,宏观级级粗糙表面的摩擦特性取决于剪切下纳米疗法接触对的机械行为。在这项工作中,我们首先使用分子动力学模拟来研究单个接触对之间的非粘附剪切。随后,为了估计粗糙表面的摩擦系数,我们将单个接触对的摩擦行为实现为Greenwood-Williamson型统计模型。通过采用当前的多尺度方法,我们使用了源自纳米级脱位可塑性的大小,速率和方向效应,以确定宏观摩擦系数对系统参数的依赖性,例如表面粗糙度和分离,加载速度和方向。我们的模型预测摩擦系数对正常接触负荷的非常规依赖性,这在纳米级摩擦测试中已观察到。因此,该模型代表了理解纳米级表面摩擦的某些相关宏观现象的一步。
A macroscopically nominal flat surface is rough at the nanoscale level and consists of nanoasperities. Therefore, the frictional properties of the macroscale-level rough surface are determined by the mechanical behaviors of nanoasperity contact pairs under shear. In this work, we first used molecular dynamics simulations to study the non-adhesive shear between single contact pairs. Subsequently, to estimate the friction coefficient of rough surfaces, we implemented the frictional behavior of a single contact pair into a Greenwood-Williamson-type statistical model. By employing the present multiscale approach, we used the size, rate, and orientation effects, which originated from nanoscale dislocation plasticity, to determine the dependence of the macroscale friction coefficient on system parameters, such as the surface roughness and separation, loading velocity, and direction. Our model predicts an unconventional dependence of the friction coefficient on the normal contact load, which has been observed in nanoscale frictional tests. Therefore, this model represents one step toward understanding some of the relevant macroscopic phenomena of surface friction at the nanoscale level.