DOIONLINE

DOIONLINE NO - IJMPE-IRAJ-DOIONLNE-4037

Publish In
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE
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Volume Issue
Issue
Volume-4,Issue-2  ( Feb, 2016 )
Paper Title
Prediction And Experimental Study On Cutting Forces Of Stepped Austempering Gray Cast Iron Using Artificial Neural Network
Author Name
Ahmet Mavi, Semih Ozden, Ismail Ovali
Affilition
Gazi University, OSTIM Vocational College, Department of Mechatronics, Turkey Gazi University, OSTIM Vocational College, Department of Electrical and Energy, Turkey PamukkaleUniversity, Faculty of Technology, Department of Manufacturing Engineering, Turkey
Pages
66-69
Abstract
A novel stepped austempering process has been widely used for improving of mechanical properties of cast iron. Although most of the stepped austempering process focused on ductile iron, only minimal study has been carried out in gray cast iron. In this study, the effects of stepped austempering on the cutting force of gray cast iron. Mathematical model developed for prediction of cutting force with Artificial Neural Network (ANN). Experimental result showed that stepped austempering heat treatment significantly influences the cutting force of gray cast iron. In addition, artificial neural network model provide highly accurate and consistent prediction for all cutting forces. Keywords- Neural Network, Cutting Force, Machining, Gray Cast Iron, Stepped Austempering
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