Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review

Abstract

Article highlights The research hotspots and shortcomings of tool wear mechanism, online monitoring and residual life prediction are comprehensively summarized. Propose using magnetic field assisted cutting to suppress tool wear, three fusion technologies of data, feature and pattern recognition to optimize tool wear monitoring and RUL prediction performance. The integration of 5G technology and signal processing technology will greatly improve the real-time performance of online monitoring and RUL prediction.

Keywords

• Tool wear mechanism
• Online tool wear monitoring
• RUL prediction
• Data-driven
• Big data
• Multi-level fusion