Neuro-fuzzy and neural network-based prediction of various responses in electrical discharge machining of AISI D2 steel
In the present research, two neuro-fuzzy models and a neural network model are presented for predictions of material removal rate (MRR), tool wear rate (TWR), and radial overcut (G) in die sinking electrical discharge machining (EDM) process for American Iron and Steel Institute D2 tool steel with c...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-78650275323&partnerID=40&md5=c2f0e6a36cc17eaaf92ebd10cadc9069 http://eprints.utp.edu.my/10069/ |
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| Institution: | Universiti Teknologi Petronas |