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Sensors 2010, 10(4), 3373-3388; doi:10.3390/s100403373

FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts

HSPdigital–CA Mecatronica, Facultad de Ingenieria Campus San Juan del Rio, Universidad Autonoma de Queretaro, Rio Moctezuma 249, San Cayetano, C.P. 76807, San Juan del Rio, Qro., Mexico
Facultad de Ingenieria, Universidad Autonoma de Queretaro, Cerro de las campanas s/n Col. Las Campanas, C.P. 76010, Queretaro, Qro., Mexico
Author to whom correspondence should be addressed.
Received: 10 February 2010 / Accepted: 29 March 2010 / Published: 7 April 2010
(This article belongs to the Special Issue Intelligent Sensors - 2010)
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Manufacturing processes are of great relevance nowadays, when there is a constant claim for better productivity with high quality at low cost. The contribution of this work is the development of a fused smart-sensor, based on FPGA to improve the online quantitative estimation of flank-wear area in CNC machine inserts from the information provided by two primary sensors: the monitoring current output of a servoamplifier, and a 3-axis accelerometer. Results from experimentation show that the fusion of both parameters makes it possible to obtain three times better accuracy when compared with the accuracy obtained from current and vibration signals, individually used.
Keywords: tool-wear area; vibration monitoring; current monitoring; smart-sensor; FPGA tool-wear area; vibration monitoring; current monitoring; smart-sensor; FPGA

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Trejo-Hernandez, M.; Osornio-Rios, R.A.; Romero-Troncoso, R.J.; Rodriguez-Donate, C.; Dominguez-Gonzalez, A.; Herrera-Ruiz, G. FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts. Sensors 2010, 10, 3373-3388.

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