Volume : III, Issue : V, May - 2013
Prediction of Process Parameters of Wire EDM for AISI A2 Using ANN
S. B. Prajapati, N. S. Patel, V D Asal
Abstract :
Wire EDM is most progressive non–conventional machining process in mechanical industries. There are many parameter affect the performance of Wire EDM. Few of them are investigated in this research paper. The effect of process parameter like Pulse ON time, Pulse OFF time, Voltage, Wire Feed and Wire Tension on MRR, SR, Kerf and Gap current is studied by conducting an experiment. Artificial Neural Network is used for Predict of output parameters of Wire EDM of AISI A2. The training, testing and validation data set are collected by conducting experiment on work piece material AISI A2.It is found that ANN is a powerful tool for data prediction and it gives agreeable result when Experimental and Predicted Data were compared.
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DOI : 10.36106/ijar
Cite This Article:
S. B. Prajapati, N. S. Patel, V D Asal Prediction of Process Parameters of Wire EDM for AISI A2 Using ANN Indian Journal of Applied Research, Vol.III, Issue.V May 2013
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S. B. Prajapati, N. S. Patel, V D Asal Prediction of Process Parameters of Wire EDM for AISI A2 Using ANN Indian Journal of Applied Research, Vol.III, Issue.V May 2013
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