Predicting Material Removal Rate of Electrical Discharge Machining (EDM) using Artificial Neural Network for High Igap current
International Conference on Electrical, Control and Computer …, 2011•ieeexplore.ieee.org
This article presents a prediction of Material Removal Rate (MRR) in Electrical Discharge
Machining (EDM) using Artificial Neural Network (ANN). Experimental data were gathered
from Die sinking EDM process for copper-electrode and steel-workpiece. It is aimed to
develop a behavioral model using input-output pattern of raw data from EDM process
experiment. The behavioral model is used to predict MRR and than the predicted MRR is
compared to actual MRR value. The results show good agreement of predicting MRR …
Machining (EDM) using Artificial Neural Network (ANN). Experimental data were gathered
from Die sinking EDM process for copper-electrode and steel-workpiece. It is aimed to
develop a behavioral model using input-output pattern of raw data from EDM process
experiment. The behavioral model is used to predict MRR and than the predicted MRR is
compared to actual MRR value. The results show good agreement of predicting MRR …
This article presents a prediction of Material Removal Rate (MRR) in Electrical Discharge Machining (EDM) using Artificial Neural Network (ANN). Experimental data were gathered from Die sinking EDM process for copper-electrode and steel-workpiece. It is aimed to develop a behavioral model using input-output pattern of raw data from EDM process experiment. The behavioral model is used to predict MRR and than the predicted MRR is compared to actual MRR value. The results show good agreement of predicting MRR between them.
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