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

Sensors

Miguel Trejo-Hernandez¹  Roque Alfredo Osornio-Rios¹  Rene de Jesus Romero-Troncoso¹  Carlos Rodriguez-Donate¹  Aurelio Dominguez-Gonzalez¹ 

[1] 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; E-Mails:

关键词: tool-wear area;    vibration monitoring;    current monitoring;    smart-sensor;    FPGA;   

DOI  :  10.3390/s100403373

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.