Deep learning-based tool wear prediction and its application for machining process using multi-scale feature fusion and channel attention mechanism

Tool wear is a key factor in the cutting process, which directly affects the machining precision and part quality. Accurate tool wear prediction can make proper tool change at an early stage to reduce downtime and enhance product quality. However, traditional methods can not meet the high requirements of the intelligent manufacturing. Therefore, a novel method based on deep learning is proposed to improve the prediction accuracy of tool wear....