Response surface and neural network based predictive models of cutting temperature in hard turning

The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cut...

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Bibliographic Details
Main Authors: Mozammel Mia, Nikhil R Dhar
Format: Article
Language:English
Published: Elsevier 2016-11-01
Series:Journal of Advanced Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090123216300388

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