A Method of Tool Breakage Detection in CNC High-Speed Milling

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Abstract:

Tool condition monitoring, mainly tool breakagedetection for high-speed machining (HSM), is an importantproblem to solve; however, the techniques or types ofsensors applied in other research projects present certaininconveniences. In order to improve tool breakage monitoringsystems, a simple, effective, and fast method ispresented herein. This method is based on the discretewavelet transform (DWT) and statistical methodologies.The effectiveness of the method is based on the measurementsof the feed-motor current signals using inexpensivesensors. It is well-known that during the cutting process,the motor current is related to the tool condition.

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598-603

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Rahman M, Wang ZG, Wong YS (2006) A review on high-speedmachining of titanium alloys. JSME Int J Ser C 49: 11–20.

Google Scholar

[2] Zou J, Chen J, Geng ZM (2001) Application of wavelet packetsalgorithm to diesel engines' vibroacoustic signature extraction. JAutomobile Eng 215: 987–993.

DOI: 10.1243/0954407011528554

Google Scholar

[3] Chen JC, Susanto V (2003) Fuzzy logic based in-process toolwearmonitoring system in face milling operations. Int J AdvManufTechnol 21: 186–192.

Google Scholar

[4] Rivero A, Lopez de Lacalle LN, Penalva ML (2008) Tool weardetection in dry high-speed milling based upon the analysis ofmachine internal signals. Mechatronics 18: 627–633.

DOI: 10.1016/j.mechatronics.2008.06.008

Google Scholar