Tool breakage detection in CNC high-speed milling based in feed-motor current signals

Authors: Sevilla-Camacho, P.; Herrera-Ruiz, G.1; Robles-Ocampo, J.1; Jáuregui-Correa, J.2

Source: The International Journal of Advanced Manufacturing Technology, Volume 53, Numbers 9-12, April 2011 , pp. 1141-1148(8)

Publisher: Springer

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Abstract:

Tool condition monitoring, mainly tool breakage detection for high-speed machining (HSM), is an important problem to solve; however, the techniques or types of sensors applied in other research projects present certain inconveniences. In order to improve tool breakage monitoring systems, a simple, effective, and fast method is presented herein. This method is based on the discrete wavelet transform (DWT) and statistical methodologies. The effectiveness of the method is based on the measurements of the feed-motor current signals using inexpensive sensors. It is well-known that during the cutting process, the motor current is related to the tool condition. The current consumption changes when the tool is broken as compared to when the tool is in normal cutting condition. This difference can be obtained from the waveform variances between the signals in order to ascertain the tool condition. The algorithms of this research project consist of obtaining compressed signals from the I rms feed-motor current signals applying the DWT. Then from these compressed signals, we detect the asymmetries between them. The arithmetic mean value is applied to asymmetries of consecutive machining lengths to reduce noise in the data having a mean value of a series of asymmetries; also, a normal cutting threshold is set up in order to make decisions regarding the tool conditions so as to detect tool breakage. Therefore, this research project shows a low-cost monitoring system that is simple to implement.

Keywords: Feed-motor current; High-speed milling; Low-cost sensor; Statistical methodologies; Tool breakage; Wavelet transform

Document Type: Research Article

DOI: http://dx.doi.org/10.1007/s00170-010-2907-9

Affiliations: 1: División de Estudios de Posgrado, Facultad de Ingeniería-Universidad Autónoma de Querétaro, Cerro de las Campanas s/n, Ciudad Universitaria, 76010, Santiago de Querétaro, Querétaro, Mexico 2: CIATEQ, A.C., Unidad Bernardo Quintana, Avenida Manantiales 23-A Parque Industrial Bernardo Quintana, 76000, El Marqués, Querétaro, Mexico

Publication date: April 1, 2011

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