Modeling and Optimization of Electrical Discharge Machining Process Parameters using Artificial Neural Network
Author(s): Md. Ilyas Hamid
Publication #: IJIRCT1201079
Date of Publication: 03.01.2016
Country: India
Pages: 393-395
Published In: Volume 1 Issue 4 January-2016
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.
Keywords: Electrical Discharge Machining, EDM, Artificial neural network, Non-traditional machining
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