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A Study on Micro ED-Drilling of cemented carbide  

Kim, Chang-Ho (동의대학교 기계공학과)
Kang, Soo-Ho (대성사)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.9, no.5, 2010 , pp. 1-6 More about this Journal
Abstract
The wavelet transform is a popular tool for studying intermittent and localized phenomena in signals. In this study the wavelet transform of cutting force signals was conducted for the detection of a tool failure in turning process. We used the Daubechies wavelet analyzing function to detect a sudden change in cutting signal level. A preliminary stepped workpiece which had intentionally a hard condition was cut by the inserted cermet tool and a tool dynamometer obtained cutting force signals. From the results of the wavelet transform, the obtained signals were divided into approximation terms and detailed terms. At tool failure, the approximation signals were suddenly increased and the detailed signals were extremely oscillated just before tool failure.
Keywords
Condition Monitoring; High Speed Machining; Cutting Force; Runout; Acceleration; Tool Wear;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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