Tool wear will cause adverse effects on industrial production.With the development of industrial processing driven by intelligent manufacturing,research on automated tool wear intelligent recognition system has gradually emerged,aiming to improve processing efficiency and prolong the service life of turning tool processing to reduce costs.In this paper,a tool wear classification method for CNC machine turning based on EfficientNetV2 network was used to solve the problems of inaccurate wear information recognition,large amount of calculation and low accuracy of the current model parameters.The EfficientNetV2 network can automatically select features,which is more intuitive and accurate,and achieves a high classification accuracy,so as to distinguish the wear of the turning tool.
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