Application of ANFIS in predicting TiAlN coatings flank wear

• Main Authors: Hasan Basari, Abd Samad, Mohamad Jaya, ‪Abdul Syukor, Mohd Hashim, Siti Zaiton, Muhamad, Mohd Razali, Md Nizam, Abd Rahman, Habibollah, Haron
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Subjects: TS Manufactures; QA75 Electronic computers. Computer science
• Online Access: http://eprints.utem.edu.my/id/eprint/143/1/CIMSim11paperprosiding.pdf; http://eprints.utem.edu.my/id/eprint/143/
• Institution: Universiti Teknikal Malaysia Melaka

In this paper, a new approach in predicting the flank wear of Titanium Aluminum Nitrite (TiAlN) coatings using Adaptive Network Based Fuzzy Inference System (ANFIS) is implemented. TiAlN coated cutting tool is widely used in machining due to its excellent resistance to wear. The TiAlN coatings...