论文标题

用塑料接触的摩擦模型裸露:Amontons-Coulomb定律,静态摩擦的老化和具有有限的绝对极限的非单调曲线曲线

A model of friction with plastic contact nudging: Amontons-Coulomb laws, aging of static friction, and non-monotonic Stribeck curves with finite quasistatic limit

论文作者

Fielding, Suzanne M

论文摘要

我们引入了两个接触(固定或共同滑动)粗糙表面之间的摩擦模型,每个表面都包括一个随机的多分散半球凸起。在模型的最简单版本中,颠簸经历了彼此接触的体验,只有成对的弹性排斥和耗散阻力。这些最小成分足以捕获静态的危险状态,互锁的接触凸起,低于关键的摩擦力,与正常负荷成正比,与明显的接触面积成正比,与Amontons-Coulomb的摩擦法则一致。但是,他们无法捕获两个广泛的观察:(i)动态摩擦系数(稳定滑动中的摩擦力与正常力的比率)是一个大致恒定或略有弱的速度$ u $的功能,低$ u $,低$ u $,具有非零值的限制与$ u \ u \ u \ u \ 0 $的频率(ii)和ii(ii)的正常值(ii),以及ii $ rictation coftical and(ii)的评分(ii)的效果(II)。滑动)增加(“年龄”)是在滑动开始之前将表面在固定接触中压在一起的时间的函数。为了解决这些缺点,我们结合了一种附加的模型成分:接触凸起质量稍微向侧面轻推,在关键的接触式负载上方。有了这种额外的见解,该模型还捕获了观察结果(i)和(ii)。

We introduce a model of friction between two contacting (stationary or co-sliding) rough surfaces, each comprising a random ensemble of polydisperse hemispherical bumps. In the simplest version of the model, the bumps experience on contact with each other only pairwise elastic repulsion and dissipative drag. These minimal ingredients are sufficient to capture a static state of jammed, interlocking contacting bumps, below a critical frictional force that is proportional to the normal load and independent of the apparent contact area, consistent with the Amontons-Coulomb laws of friction. However, they fail to capture two widespread observations: (i) that the dynamic friction coefficient (ratio of frictional to normal force in steady sliding) is a roughly constant or slightly weakening function of the sliding velocity $U$, at low $U$, with a non-zero quasistatic limit as $U\to 0$, and (ii) that the static friction coefficient (ratio of frictional to normal force needed to initiate sliding) increases ("ages") as a function of the time that surfaces are pressed together in stationary contact, before sliding commences. To remedy these shortcomings, we incorporate a single additional model ingredient: that contacting bumps plastically nudge one another slightly sideways, above a critical contact-contact load. With this additional insight, the model also captures observations (i) and (ii).

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源