EngineeringMaterials ScienceComputer Science

R. Peng, Haolin Pang, Haojian Jiang, Yunbo Hu

2020.5.1AUTOMATIC CONTROL AND COMPUTER SCIENCES

DOI: 10.3103/s0146411620030062

Resumen de tlooto

A new approach to monitor tool wear status and replace tool in time by machine vision technology was presented and showed that the wear monitoring system had high detection accuracy and enabled on-machine monitoring of tool wear during milling process.

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Formato de cita

PENG, R., et al. Study of tool wear monitoring using machine vision. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2020, 54: 259–270.