柔性多体系统中间隙铰接副的磨损预测

通过集成磨损计算与柔性多体动力学，对柔性系统中间隙铰接副部位的磨损进行了预测.基于绝对节点坐标方法（ANCF）建立了柔性部件的多体动力学模型，引入连续接触力模型计算间隙铰接副部分的接触力，并采用Archard磨损模型的迭代磨损计算程序预测磨损.为了得到在不同接触情况下的磨损系数，本文中采用了径向基神经网络处理试验数据.通过对含柔性连杆的曲柄滑块机构进行仿真计算，发现当考虑部件的柔性时，得到的间隙处的冲击力大幅降低，且预测的磨损量也略有降低，这种区别会随着仿真时间的增加而变得更加明显.

Prediction of Wear in Revolute Clearance Joints in Flexible Multibody Systems

By integrating wear prediction with flexible multibody dynamics, the wear at the revolute clearance joint in flexible mechanical systems was predicted. The flexible component was modeled based on the absolute nodal coordinate formulation (ANCF), and the contact force in the clearance joint was calculated using continuous contact force model. An iterative wear prediction procedure based on Archad's wear model was employed. In order to determine wear coefficient, pin-on-disc experiments were performed, and Radial Basis Function Neural Network (RBFNN) technique was introduced to deal with tests data to obtain the wear coefficient at different contact conditions. Finally, a planar slider-crank mechanism with clearance joint was used to perform numerical simulations. The results show that after taking components' flexibility into account, the impact value in the clearance joint was much lower than that in the case without considering such factor, and the wear result predicted was also slightly reduced. Moreover, this difference was more pronounced when the simulation time was longer.