Prediction of cutting temperatures by using back propagation neural network modeling when cutting hardened H-13 steel in CNC end milling

• Main Authors: Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Suprianto, M.Y, Riza, Muhammad
• Format: Article
• Language: English
• Published: Trans Tech Publications 2012
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/30262/1/AMR.576.91.pdf; http://irep.iium.edu.my/30262/; http://www.scientific.net/AMR.576.91

Machining of hardened steel at high cutting speeds produces high temperatures in the cutting zone, which affects the surface quality and cutting tool life. Thus, predicting the temperature in early stage becomes utmost importance. This research presents a neural network model for predicting the cutt...