Optimization of Cutting Parameters in Face Milling with Neural Networks and Taguchi based on Cutting Force, Surface Roughness and Temperatures

Prediction of cutting parameters as a function of cutting force, surface roughness and cutting temperature is very important in face milling operations. In the present study, the effect of cutting parameters on the mentioned responses were investigated by using artificial neural networks (ANN) which...

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Bibliographic details
Volume:	51
Main Author:	Yalcin, Umit Karaoglan, Aslan Deniz Korkut, Ihsan
Format:	Journal Article
Language:	English
Place of publication:	ABINGDON Routledge 01.06.2013 TAYLOR & FRANCIS LTD
published in:	International journal of production research Vol. 51; no. 11; pp. 3404 - 3414
ORCID:	0000-0002-5001-4449
Data of publication:	6/1/2013
ISSN:	0020-7543 1366-588X
EISSN:	1366-588X
Discipline:	Engineering
Subjects:	prediction artificial neural networks Taguchi face milling Operations Research & Management Science Engineering Engineering, Manufacturing Engineering, Industrial Technology Science & Technology prediction artificial neural networks PROFILES Taguchi TOOL WEAR face milling
Online Access:	Fulltext
Database:	Web of Science - Science Citation Index Expanded - 2013 Web of Knowledge Science Citation Index Expanded Web of Science CrossRef Database information Databases - DBIS