Abstract:
Condition monitoring of the machining process is very important in today’s precision
manufacturing, especially in the electrical discharge machining (EDM). This paper shows a
fuzzy-based algorithm for prediction of material removal rate (MRR) and tool wear ratio
(TWR) in the electrical discharge machining (EDM) processes. In this system peak current
(Ip), voltage (V) and duty cycle (D) are the input parameters and output parameters are MRR
and TWR. The proposed fuzzy model in this study provides a more precise and easy selection
of EDM input parameters, respectively for the required MRR and TWR which leads to better
machining conditions and decreases the machining costs. The fuzzy modeling of EDM was
able to predict the experimental results with very high accuracies.
