Please use this identifier to cite or link to this item:
|Title:||Tool-Wear Estimation in Cnc Machine Based On Fusion Vibration-Current and Neural Network|
Osornio-Rios, R A
|Keywords:||Tool-Wear;Artificial Neural Network;Vibration;Current|
|Abstract:||The costs of the cutting tools and their replacement become an important amount of the total production costs in a manufacturing process. This work presents a methodology based on machine vibration, servomotor electric current and an artificial neural network to obtain the tool-wear detection in CNC machine inserts. The effectiveness of this proposal was tested in the tool of CNC lathe machine and validated with the image quantification.|
|ISSN:||0975-1084 (Online); 0022-4456 (Print)|
|Appears in Collections:||JSIR Vol.77(12) [December 2018]|
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.