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Published in:

Volume 1 Issue 4
January-2016
eISSN: 2454-5988

 

Unique Identifier

 

IJIRCT1201079


 

Page Number

 
393-395

 

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Paper Details

Title

Modeling and Optimization of Electrical Discharge Machining Process Parameters using Artificial Neural Network


Abstract

Electric Discharge machining(EDM) is a thermo-electric, Non-traditional machining process used for machining precise and intricate shapes on hard and difficult to machine materials such as ceramics, haste-alloys, titanium, high strength alloys which are mostly used in medical and aerospace industries. The input and output parameters are optimized using ANN by back propagation algorithm. The experiments are conducted on PH Steel using Copper Tungsten as electrode. The result shows that current, pulse on time and pulse off time have significant effect on MRR and TWR. Experimental values are closely related to ANN values with the variation of 8 to 10 percentage error.


Key Words

Electrical Discharge Machining, EDM, Artificial neural network, Non-traditional machining

 

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