Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/45487
Title: Tool-Wear Estimation in Cnc Machine Based On Fusion Vibration-Current and Neural Network
Authors: Trejo-Hernandez, M
Osornio-Rios, R A
Keywords: Tool-Wear;Artificial Neural Network;Vibration;Current
Issue Date: Dec-2018
Publisher: NISCAIR-CSIR, India
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.
Page(s): 688-691
URI: http://nopr.niscair.res.in/handle/123456789/45487
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.77(12) [December 2018]

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