A Study of Tool Wear Prediction Based on Digital Twins

A Study of Tool Wear Prediction Based on Digital Twins

In the context of the global intelligent transformation of manufacturing, digital twin technology, through the deep integration of physical entities and virtual models, provides an innovative path for the implementation of smart manufacturing. Taking the VMC-C50 five-axis CNC machine tool milling ti...

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Bibliographic Details
Main Authors:	LIU Minghao, MAO Xinhui, XIA Wei, YUE Caixu, LIU Xianli
Format:	Article
Language:	zho
Published:	Harbin University of Science and Technology Publications 2025-02-01
Series:	Journal of Harbin University of Science and Technology
Subjects:	digital twins cnc machine tools tool wear prediction deep learning convolutional neural networks bidirectional long short-term memory networks
Online Access:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2400
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