Digital Twin-Driven Tool Wear Monitoring and Predicting Method for the Turning Process

Zhuang, KJ; Shi, ZC; Sun, YB; Gao, ZM; Wang, L

Wang, L (corresponding author), Wuhan Univ Technol, Sch Mech & Elect Engn, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.

SYMMETRY-BASEL, 2021; 13 (8):

Abstract

Accurate monitoring and prediction of tool wear conditions have an important influence on the cutting performance, thereby improving the machining pre......

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