NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.68 [2009] >
JSIR Vol.68(06) [June 2009] >

Title: Metal cutting process parameters modeling: an artificial intelligence approach
Authors: Tanikic, Dejan
Manic, Miodrag
Radenkovic, Goran
Mancic, Dragan
Keywords: Artificial neural networks
Metal cutting process
Neuro-fuzzy system
Issue Date: Jun-2009
Publisher: CSIR
Abstract: This study presents metal cutting process’ parameters modeling (cutting temperature, cutting force, and quality of machinedsurface) using artificial neural networks, and hybrid, adaptive neuro-fuzzy systems. Proposed models can be used for metalcutting process optimization, increasing productivity and reducing manufacturing costs.
Page(s): 530-539
ISSN: 0022-4456
Source:JSIR Vol.68(06) [June 2009]

Files in This Item:

File Description SizeFormat
JSIR 68(6) 530-539.pdf199.95 kBAdobe PDFView/Open
 Current Page Visits: 1282 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 172130 since 01-Sep-2015  Last updated on 30-Jun-2016Webmaster: