Electrical discharge machining (EDM) is one of the earliest non-traditional machining
processes. EDM process is based on thermoelectric energy between the work piece and an …

In past few decades, the non-traditional machining techniques of electrical discharge
machining (EDM) has been developed to machine materials that are difficult to cut …

The present work reports on the development of modeling and optimization for micro-electric
discharge machining (μ-EDM) process. Artificial neural network (ANN) is used for analyzing …

In the present paper Artificial Neural Networks (ANNs) models are proposed for the
prediction of surface roughness in Electrical Discharge Machining (EDM). For this purpose …

Electrical discharge machining (EDM) is inherently a stochastic process. Predicting the
output of such a process with reasonable accuracy is rather difficult. Modern learning based …

Characterization of surface topography, roughly divided into measurement and data
analysis, can be valuable in the process of validation of the tribological performance of …

Parametric optimization of electric discharge machining (EDM) process is a multi-objective
optimization task. In general, no single combination of input parameters can provide the best …

Alumina has become one of the most popular ceramic materials used in wear-resistant and
structural applications due to its attractive physical characteristics together with chemical …

Electro-Discharge machining (EDM) is a thermal process comprising a complex metal
removal mechanism. This method works by forming of a plasma channel between the tool …

This study employs Gaussian process regression (GPR) with square exponential covariance
function to predict surface roughness of Compacted Graphite Cast Iron (CGI). In addition, a …