In order to develop predictive wear laws, relevant material parameters and their influence on the wear rate need to be identified. Despite decades of research, there is no agreement on the mathematical form of wear equations and even the simplest models, such as Archard’s, contain unpredictable fit parameters. Here, we propose a simple model for adhesive wear in dry sliding conditions that contains no fit parameters and is only based on material properties and surface parameters. The model connects elastoplastic contact solutions with the insight that volume detachment from sliding surfaces occurs in the form of wear particles, the minimum size of which can be estimated. A novelty of the model is the explicit tracking of the sliding process, which allows us to meaningfully connect particle emission rates and sizes to the macroscopic wear rate. The results are qualitatively promising, but we identify the necessity for more controlled wear experiments and the parameters needed from such work in order to fully verify and improve our model.

为了制定可预测的磨损规律，需要确定相关的材料参数及其对磨损率的影响。尽管进行了数十年的研究，但磨损方程的数学形式并没有达成共识，即使是最简单的模型（例如Archard模型）也包含不可预测的拟合参数。在这里，我们提出了一个简单的模型，用于干式滑动条件下的粘合剂磨损，该模型不包含拟合参数，仅基于材料特性和表面参数。该模型将弹塑性接触解决方案联系在一起，洞察力在于，与滑动表面的体积分离以磨损颗粒的形式发生，可以估计其最小尺寸。该模型的新颖之处在于对滑动过程的显式跟踪，这使我们能够有意义地将粒子发射率和尺寸与宏观磨损率联系起来。