Optimization of EDM Process Parameters by Using Artificial Neural Network: A Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 8
Abstract
Electrical discharge machining (EDM) is one of the most primitive and categorized non-conventional machining process. Edm is basically based on thermal spark generated between the tool and work piece in the presence of dielectric fluid. There are many performance parameters like pulse on (Ton), pulse off (Toff), current (A), gap voltage (v), flushing pressure, etc. are taken during experimental performance. Material removal rate (MRR), tool wear rate (TWR) or electrode wear rate (EWR), surface roughness (SR), etc. are used as response variables. These papers provide a review on the modelling and optimization of the machining parameters by using artificial neural network (ANN) in electrical discharge machining. The previous work done on the electrical discharge machining (EDM) is explained in this paper.
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Harmanpreet Last Name
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