No.1022E 2026Special Edition on the Technologies that Support Manufacturing and Manufacturing Equipment Development of a System for Cutting Tool Abnormality Detection and Life Prediction |
| Category | TECHNICAL REPORTS |
|---|---|
| Author | Y. ISHIGURE Y. SASAI Machine Tools Engineering Dept., Machine Tools & Manufacturing Systems Business Unit |
| Abstract | In cutting processes, the deterioration of tool edges such as drills and cutters can lead to a decline in machining quality or even tool breakage during operation. To avoid such issues, tool life management values are set based on usage time and frequency, and tools are regularly replaced. However, due to factors such as individual differences in tools and workpieces, the rate of tool edge deterioration varies, sometimes causing tool failures before reaching the management values, leading to machining issues. Our company has developed a Tool Life Prediction System that detects tool abnormalities and predicts tool life based on the servo motor torque values of the spindle and feed axes. This system learns the trends of increasing machining load from new tools to their end of life, predicting each tool’s remaining life and detecting abnormalities during use. Additionally, by feeding back the prediction results to the equipment's tool management function and automatically adjusting the life management values according to the tool condition, the system helps avoid machining issues due to tool abnormalities and contributes to stable machining quality. |
| Keyword | cutting process, tool management, tool life prediction, abnormality detection |
| Search tag |
Download Ranking of
ENGINEERING JOURNAL
Summary:9,2026
Summary:10,2025-9,2026