Tool Wear

Research on CNC Milling Machine Cutting Power Prediction Model Considering Tool Wear Based on VMD-SSA-LSTM

by
Research on CNC Milling Machine Cutting Power Prediction Model Considering Tool Wear Based on VMD-SSA-LSTM

Editor’s Recommendation With the increasing severity of issues such as resource depletion, greenhouse effects, and environmental pollution, our country has emphasized the importance of promoting green manufacturing in its intelligent manufacturing development plan. The manufacturing equipment in mechanical manufacturing systems mainly consists of machine tools, and an accurate and effective energy consumption prediction model for … Read more

Current Research Status and Development Trends of Intelligent Tool Wear Monitoring Methods

by
Current Research Status and Development Trends of Intelligent Tool Wear Monitoring Methods

Editor’s Note The real-time monitoring of tool wear during machining is of significant importance for reducing equipment downtime and lowering costs caused by tool wear. Traditional tool wear monitoring methods based on signal processing and shallow learning models require manual extraction of lengthy features, which cannot achieve intelligent monitoring. To overcome this inherent limitation, deep … Read more