Modelling of cutting forces as a function of cutting parameters in milling process using regression analysis and artificial neural network

By Dave Harshit K.   Raval Harit K.  

International Journal of Machining and Machinability of Materials, Vol. 8, Iss. 1-2, 2010-08 ,pp. : 198-208

Inderscience Publishers

Access to resources Recommend Favorite

Prediction of cutting forces and surface roughness using artificial neural network (ANN) and support vector regression (SVR) in turning 4140 steel

By Asilturk İ   Kahramanli H   Mounayri H El  

Materials Science and Technology, Vol. 28, Iss. 8, 2012-08 ,pp. : 980-986

Maney Publishing

Access to resources Recommend Favorite

The Prediction of Permeability Using an Artificial Neural Network System

By Pazuki G. R.  

Petroleum Science and Technology, Vol. 30, Iss. 20, 2012-10 ,pp. : 2108-2113

Taylor & Francis Ltd

Access to resources Recommend Favorite

Effects of minimum quantity lubrication (MQL) by vegetable oil-based cutting fluid on machinability of AISI 9310 steel

By Dhar N.R.   Khan M.M.A.  

International Journal of Machining and Machinability of Materials, Vol. 7, Iss. 1-2, 2009-12 ,pp. : 17-38

Inderscience Publishers

Access to resources Recommend Favorite

Artificial neural network-based approach for detection and classification of defects in polymeric composites using machine vision in SEM study

By Bose Saswata   Das Chapal Kumar   Shome Deepayan  

International Journal of Materials and Product Technology, Vol. 38, Iss. 4, 2010-07 ,pp. : 337-361

Inderscience Publishers

Access to resources Recommend Favorite