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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 28 , No. 4

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 28, No. 4, pp. 246-252
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Aug 2019
Received 26 Jul 2019 Revised 09 Aug 2019 Accepted 13 Aug 2019
DOI: https://doi.org/10.7735/ksmte.2019.28.4.246
통계학적 변수를 이용한 엔드밀링의 채터 검출법
김종도^a ; 지양하^b ; 윤문철^c^{, *}



Chatter Detection in End-milling Using Stochastic Variables
Jong-Do Kim^a ; Yang-Ha Ji^b ; Moon-Chul Yoon^c^{, *}
aCenter of industrial Cooperation, Jung-Won University, 85, Munmu-ro, Goesan-eup Goesan-gun, Chungbuk-do, 28024, Korea
bCourse-1 Team, Pusan Human Resources Development Institute, 454-20, Sinsun-ro, Namgu, Pusan 48518, Korea
cDepartment of Mechanical Design Engineering, Pukyong National University, 45, Yongso-ro, Namgu, Pusan 48513, Korea
Correspondence to : ^*Tel.: +82-51-629-6160 Fax: +82-51-629-6150 E-mail address: mcyoon@pknu.ac.kr (Moon-Chul Yoon)

Abstract

Chatter behavior in end-milling is both complex and closely related to the dynamic unbalanced malfunction phenomenon of the end-milling force; hence, it is difficult to clearly detect and diagnose this behavior using a cutting force. Therefore, this paper presents a new method for detecting chatter in end-milling operations using different stochastic variables such as average, residual, variance, and kurtosis variables. By comparing the histories and stochastic variables of the end-milling force using the fundamental end-milling property, the chatter characteristics can be reviewed and compared with other variables. Stochastic variable threshold values can therefore separate chatter and non-chatter states, and can be used reliably in the detection and prediction of chatter properties in end milling.


Keywords: Chatter, Cutting force, Kurtosis, Residuals, Variance

References


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