Surface Finish Monitoring in Taper Turning CNC Using Artificial Neural Network and Multiple Regression Methods-Reference-Cited by-同舟云学术

Surface Finish Monitoring in Taper Turning CNC Using Artificial Neural Network and Multiple Regression Methods

Published:2013 Issue: Volume:63 Page:599-607
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

García-Plaza E.,Núñez P.J.,Salgado D.R.,Cambero I.,Olivenza J.M. Herrera,Sanz-Calcedo J. García

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference10 articles.

1. Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method;Asiltürk;Expert Systems with Applications,2011

2. Design of an on-Line diagnostic system of finished surfaces in an automated mechanized process by CNC turning;García-Plaza;Proceedings of American Institute of Physics,2009

3. Machining Control of Surface Roughness by Measuring Cutting Forces;García-Plaza;Advanced Materials Research,2012

4. On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations;Hessainia;Measurement,2013

5. Prediction and control of surface roughness in CNC lathe using artificial neural network;Karayel;Journal of Materials Processing Technology,2009

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