Abstract:  Due to the special application requirements, such as light weight designs, strength,in aeronautical manufacturing field, a large number of difficult-to-machine materials such as titanium alloy and nickel-based alloy were used, and the cutting tools wore fast. Excessive tool wear would affect product quality. Under the premise of ensuring product quality, it was urgent to monitor tool wear states and to predict tool remaining useful life in order to make full use of the cutting tools. The definition, classification and models of the cutting tool remaining useful life estimation were described herein. Meanwhile tool wear monitoring was the basis and prerequisite of tool life prediction, the main steps and common models were briefly described. The remaining useful life prediction models might be categorized into physics-based models, data-driven models and hybrid models. The advantages and disadvantages of different prediction methods and their application scenarios were summarized , and the future research directions were discussed.

Key words: cutting tool, tool wear, remaining useful life, difficult-to-machine materials, Titanium alloy, superalloy

摘要： 航空制造领域因轻量化、强度等特殊的应用需求，大量使用钛合金、镍基合金等难切削材料，刀具磨损速率快，刀具过度磨损会影响产品质量，在保证产品质量的前提下，为了充分发挥刀具使用价值，亟需监测刀具磨损状态和预测刀具剩余寿命。针对刀具剩余寿命预测的定义、分类和主要预测方法进行了阐述，同时，刀具磨损监测作为刀具寿命预测的基础和先决条件，简述了其重要的流程和常见模型。刀具剩余寿命预测模型主要包括基于物理模型的预测、基于数据驱动的预测和混合预测三大类，对不同预测方法的优缺点和适用场景进行总结，并讨论了刀具剩余寿命预测的未来研究方向。

关键词: 刀具, 磨损, 剩余寿命, 难加工材料, 钛合金, 高温合金