日前，博士生白乐乐针对数控加工过程刀具的破损监测问题，提出了基于幅值比与能量比的无量纲评价指标，定义了指标归一化处理的新方法，通过同步监测衡量工况参数变化的材料去除率，制定了时变切削参数下的刀具破损识别策略，消除了切削参数突变造成的模型破损误报现象。研究成果发表在制造领域顶刊Robotics and Computer-Integrated Manufacturing（IF: 10.103）上发表。

附：

Lele Bai, Hongguang Liu, Jun Zhang*, et al. Real-time tool breakage monitoring based on dimensionless indicators under time-varying cutting conditions. Robotics and Computer-Integrated Manufacturing, 2023, 81, 102502.

https://www.sciencedirect.com/science/article/pii/S0736584522001843