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http://dx.doi.org/10.7735/ksmte.2014.23.4.325

Signal Acquisition for Effective Prediction of Chatter Vibration in Milling Processes  

Jo, M.H. (School of Mechanical Engineering, Pusan National Univ.)
Kim, H. (School of Mechanical Engineering, Pusan National Univ.)
Koo, J.Y. (School of Mechanical Engineering, Pusan National Univ.)
Lee, J.H. (Dept. of Mechatronics Engineering, Korea Polytechnic Air Colleges)
Kim, Jeong Suk (School of Mechanical Engineering, ERC/NSDM, Pusan National Univ.)
Publication Information
Journal of the Korean Society of Manufacturing Technology Engineers / v.23, no.4, 2014 , pp. 325-329 More about this Journal
Abstract
This paper proposes a method to predict chatter vibration generated in milling processes and to enhance machining quality and surface finish. Chatter vibration is a common problem in the milling of thin walls and floors. It causes a poor surface finish, or even marks, to appear on the final machined surface. Therefore, an effective method is necessary to predict chatter vibration in machine tools. In this investigation, chatter vibration is measured by an accelerometer, microphone, and Acoustic Emission (AE) sensor in a machining operation. Based on the results of the experiment, a microphone can be applied for the prediction of chatter vibration in milling processes.
Keywords
Chatter vibration; Tool passing frequency; Accelerometer; Microphone; AE sensor;
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Times Cited By KSCI : 1  (Citation Analysis)
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