A review on current research trends in electrical discharge machining (EDM)
NM Abbas, DG Solomon, MF Bahari - International Journal of machine tools …, 2007 - Elsevier
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 …
processes. EDM process is based on thermoelectric energy between the work piece and an …
Fuzzy logic for modeling machining process: a review
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 …
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …
SpringerBriefs in Applied Sciences and Technology
JP Davim - 2013 - Springer
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 …
such as DEFORM, FORGE, QFORM and eesy-2-form are standard engineering tools for …
An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
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 …
metallographic properties. Surface roughness and white layer thickness (WLT) are the main …
Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic …
Present study attempts to model and optimize the complex electrical discharge machining
(EDM) process using soft computing techniques. Artificial neural network (ANN) with back …
(EDM) process using soft computing techniques. Artificial neural network (ANN) with back …
Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression
J Yuan, K Wang, T Yu, M Fang - International Journal of Machine Tools and …, 2008 - Elsevier
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 …
Gaussian process regression (GPR) to optimize the high-speed wire-cut electrical discharge …
Modeling and multi-response optimization of Inconel 718 on machining of CNC WEDM process
R Ramakrishnan, L Karunamoorthy - Journal of materials processing …, 2008 - Elsevier
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 …
response optimization technique to predict and select the best cutting parameters of wire …
Optimization of material removal rate in micro-EDM using artificial neural network and genetic algorithms
KP Somashekhar, N Ramachandran… - Materials and …, 2010 - Taylor & Francis
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 …
discharge machining (μ-EDM) process. Artificial neural network (ANN) is used for analyzing …
Intelligent process modeling and optimization of die-sinking electric discharge machining
SN Joshi, SS Pande - Applied soft computing, 2011 - Elsevier
This paper reports an intelligent approach for process modeling and optimization of electric
discharge machining (EDM). Physics based process modeling using finite element method …
discharge machining (EDM). Physics based process modeling using finite element method …
Development of hybrid model and optimization of surface roughness in electric discharge machining using artificial neural networks and genetic algorithm
G Rangajanardhaa - Journal of materials processing technology, 2009 - Elsevier
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 …
discharge machining (EDM) by considering the simultaneous affect of various input …