PREDICTING CUTTING PARAMETERS BY APPLYING DEVELOPED NEURAL NETWORK AND LINEAR REGRESSION MODELS

PREDICTING CUTTING PARAMETERS BY APPLYING DEVELOPED NEURAL NETWORK AND LINEAR REGRESSION MODELS

The paper presents the methods for prediction of the cutting parameters. In order to test the workability of the material by process of scraping, from the aspect of the cutting temperature, an natural thermopar was placed just below the cutting edge of the plate. In this way, a simple, reliable, a...

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Bibliographic Details
Main Authors: Aleksandar ĐORĐEVIĆ, Milan ERIĆ, Miladin STEFANOVIĆ, Slobodan MITROVIĆ, Marko PANTIĆ, Aleksandra KOKIĆ ARSIĆ, Dragan DŽUNIĆ
Format: Article
Language:English
Published: University of Kragujevac 2019-06-01
Series:Proceedings on Engineering Sciences
Subjects:
cutting parameters
prediction model
neural networks
linear regression.
Online Access:http://pesjournal.net/journal/v1-n1/64.pdf

Internet

http://pesjournal.net/journal/v1-n1/64.pdf

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