Flank wears simulation by using back propagation neural network when cutting hardened H-13 steel in CNC End Milling

• Main Authors: Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, ., Muhammad Reza
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: 2013
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/32785/9/SCN_0010.jpg; http://irep.iium.edu.my/32785/1/icom13brochure.pdf; http://irep.iium.edu.my/32785/2/2180conference_iium_mechatroniuc_2013.pdf; http://irep.iium.edu.my/32785/
• Institution: Universiti Islam Antarabangsa Malaysia

High speed milling has many advantages such as higher removal rate and high productivity. However, higher cutting speed increase the flank wear rate and thus reducing the cutting tool life. Therefore estimating and predicting the flank wear length in early stages reduces the risk of unaccepted...