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Research on tool wear monitoring based on digital twin and contrastive learning
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DOI：10.1016/j.jmsy.2026.04.037.png)
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Abstract
En 中文
• The digital twin monitoring system is developed for user interaction and real-time cutting force calculation. • A two-branch contrastive learning model is proposed to realize tool wear monitoring under varying cutting conditions. • Based on tool wear status, the digital twin system controls machine tool changes via G code.
Keywords:
digital twin
contrastive learning
tool wear monitoring
real-time cutting force
G code control
Journal
IF:
14.2
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2.6K
Citations:
1.6W
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