1 Layout
نویسندگان
چکیده
In precision machining processes, major problems can be related to the condition of the cutting tool. Online tool condition monitoring is hence of great industrial interest. To empower the machining system with adaptivity and intelligence required, an embedded tool condition monitoring system (eTCM) has been developed for online detection of machining process abnormities such as tool breaking, chatter, etc. It employs multiple sensors including accelerometer, acoustic emission (AE) sensor and dynamometer to monitor an end milling process. The monitoring strategy, hardware architecture, monitoring algorithms and results are introduced and discussed in this paper.
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