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http://dx.doi.org/10.17661/jkiiect.2019.12.2.120

A Detection and Stabilization Method for CNC Tool Vibration using Acoustic Sensor  

Kim, Jung-Jun (Department of Information Security, Chonbuk University)
Cho, Gi-Hwan (Division of Computer Science and Engineering, Chonbuk University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.12, no.2, 2019 , pp. 120-126 More about this Journal
Abstract
Recently, there is an increasing need for highly precise processing with the rapid development of precision machinery, electrical and electronics, and semiconductor industries. Cutting machine control relies on the operator's sense and experience in tradition, but it has been greatly enhanced by the adoption of CNC(Computerized Numeric Controller). In addition, cutting dynamics technology has been paid attention to reflect the operating state of machine in real time. This paper presents a method to detect and stabilize tool vibration by attaching an acoustic sensor to a CNC machine. The sensed acoustic data is synchronized with the tool position and the abnormal vibration frequency is separated from the collected acoustic frequency, then analyzed to detect the tool vibration. Also the reliability the tool vibration detection and stabilization is improved by applying the cutting dynamic method. The proposed method is analyzed and evaluated in terms of the surface roughness.
Keywords
Acoustic Sensor; CNC(Computerized Numeric Controller); Embedded Device; Stabilization; Tool Vibration;
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