Predictive Modelling on Machining Performance of ECDM Using Artificial Neural Network and Particle Swarm Optimization
Nuraini Lusi,
Anggra Fiveriati,
Akhmad Afandi
et al.
Abstract:The electrochemical discharge machining (ECDM) process is developing into a potentially useful method of performing machining in conductive or non-conductive materials. The experiment was conducted utilizing full factorial design (2 4 ) with the 16 run test. The present study implemented artificial neural network (ANN) and particle swarm optimization (PSO) techniques to predict the Material Removal Rate (MRR) and surface roughness (SR), and the linear regression analysis were utilized for this purpose. The inp… Show more
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