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

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 C...

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Main Authors: Miguel Trejo-Hernandez, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso, Carlos Rodriguez-Donate, Aurelio Dominguez-Gonzalez, Gilberto Herrera-Ruiz
Format: Article
Language:English
Published: MDPI AG 2010-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/4/3373/
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author Miguel Trejo-Hernandez
Roque Alfredo Osornio-Rios
Rene de Jesus Romero-Troncoso
Carlos Rodriguez-Donate
Aurelio Dominguez-Gonzalez
Gilberto Herrera-Ruiz
author_facet Miguel Trejo-Hernandez
Roque Alfredo Osornio-Rios
Rene de Jesus Romero-Troncoso
Carlos Rodriguez-Donate
Aurelio Dominguez-Gonzalez
Gilberto Herrera-Ruiz
author_sort Miguel Trejo-Hernandez
collection DOAJ
description 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.
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spelling doaj.art-56ba5632a51f41e78771e1e0a2f198492022-12-22T02:08:07ZengMDPI AGSensors1424-82202010-04-011043373338810.3390/s100403373FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine InsertsMiguel Trejo-HernandezRoque Alfredo Osornio-RiosRene de Jesus Romero-TroncosoCarlos Rodriguez-DonateAurelio Dominguez-GonzalezGilberto Herrera-RuizManufacturing 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.http://www.mdpi.com/1424-8220/10/4/3373/tool-wear areavibration monitoringcurrent monitoringsmart-sensorFPGA
spellingShingle Miguel Trejo-Hernandez
Roque Alfredo Osornio-Rios
Rene de Jesus Romero-Troncoso
Carlos Rodriguez-Donate
Aurelio Dominguez-Gonzalez
Gilberto Herrera-Ruiz
FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
Sensors
tool-wear area
vibration monitoring
current monitoring
smart-sensor
FPGA
title FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
title_full FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
title_fullStr FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
title_full_unstemmed FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
title_short FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts
title_sort fpga based fused smart sensor for tool wear area quantitative estimation in cnc machine inserts
topic tool-wear area
vibration monitoring
current monitoring
smart-sensor
FPGA
url http://www.mdpi.com/1424-8220/10/4/3373/
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