航空难加工材料切削刀具磨损与剩余寿命预测研究进展

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.