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 …

The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …

Nowadays, commercial computer programs based on the finite element flow formulation
such as DEFORM, FORGE, QFORM and eesy-2-form are standard engineering tools for …

A wire electrical discharge machined (WEDM) surface is characterized by its roughness and
metallographic properties. Surface roughness and white layer thickness (WLT) are the main …

Present study attempts to model and optimize the complex electrical discharge machining
(EDM) process using soft computing techniques. Artificial neural network (ANN) with back …

The paper discusses the development of reliable multi-objective optimization based on
Gaussian process regression (GPR) to optimize the high-speed wire-cut electrical discharge …

This paper describes the development of artificial neural network (ANN) models and multi-
response optimization technique to predict and select the best cutting parameters of wire …

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 …

This paper reports an intelligent approach for process modeling and optimization of electric
discharge machining (EDM). Physics based process modeling using finite element method …

The present work is aimed at optimizing the surface roughness of die sinking electric
discharge machining (EDM) by considering the simultaneous affect of various input …