Optimization of machining parameters of titanium alloy in electric discharge machining based on artificial neural network
This report presents the artificial neural network model to predict the optimal machining parameters for Ti-6Al-4V through electrical discharge machining (EDM) using copper as an electrode and positive polarity of the electrode. The objective of this paper is to investigate how the peak current, ser...
| Main Author: | Liew, Annie Ann Nee |
|---|---|
| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1403/ http://umpir.ump.edu.my/id/eprint/1403/1/Optimization%20of%20machining%20parameters%20of%20titanium%20alloy%20in%20electric%20discharge%20machining%20based%20on%20%20artificial%20neural%20network.pdf |
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