Elman Networks is a one of the dynamic recurrent neural networks. In this research it is used for the prediction of surface roughness in Electrical Discharge Machining (EDM). Training of the models was performed with data from series of EDM experiments on SKD 11 (AISI D2) Tool steel; in the development of predictive models, machining parameters of discharge current, pulse duration and duty cycl...

Surface roughness is the main indicator of technological performances of a component for electrical discharge machining (EDM). EDM process of manganese alloyed cold-work tool steel was modelled. In this paper we used the fuzzy logic (FL) and neural network (NN) to predict the effect of machining variables (discharge current and pulse duration) on the surface roughness of manganese alloyed cold-...

This paper demonstrates the effectiveness of optimizing multiple characteristics of electrical discharge machining (EDM) of Inconel 718 using copper electrodes having different shapes via Taguchi method-based Grey analysis. The modified algorithm adopted here is used successfully for both detraining the optimum settings of machining parameters and for combining multiple quality characteristic i...

--There are various techniques which can be used for the manufacture of microproducts, micro electromechanical systems (MEMS) based manufacturing .Broadly these techniques are photolithography, chemical etching, plating, laser fabrication. Micro machining may be seen as an ultra precision material removal process and by this process it is able to achieve micro form accuracy and nanometers finis...

In Electrical Discharge Machining, oxides (or debris) are created and accumulated in the sparking gap between an electrode and a work piece. If the debris density becomes too great in certain points in the gap, there is a reduction in the resistance, which encourages the formation of abnormal discharges, results in significant electrode damage and slows down the material removal rate. To enhanc...

The aim of this paper is to study the Electro discharge machining process. EDM has been an important manufacturing process for the tool, mould, and dies industries for several decades. The process is finding an increasing industrial use owing to its ability to produce geometrically complex shapes as well as its ability to machine hard materials that are extremely difficult using conventional pr...

In this paper, the cutting of Tungsten Carbide ceramic using electro-discharge machining (EDM) with a graphite electrode by using Taguchi methodology has been reported. The Taguchi method is used to formulate the experimental layout, to analyse the effect of each parameter on the machining characteristics, and to predict the optimal choice for each EDM parameter such as peak current, voltage, p...

Low electrode wear is the key to achieving high finish and high accuracy machining in micro-electrical discharge machining (micro-EDM). Electrically conductive chemical vapor deposited (CVD) diamond has shown almost zero electrode wear, even at short pulse durations, which is extremely important for maintaining the electrode shape throughout the EDM process. This research involves an investigat...

Correct selection of manufacturing condition is one of the most important aspects which should be considered in the majority of manufacturing processes,  particularly in the process related to advanced machining process like electrical discharge machining. In electrical discharge machining (EDM), dielectric fluid plays an important role since machining characteristics are greatly influenced by ...

The purpose of this study is to investigate the surface characteristics and biocompatibility of titanium (Ti) surfaces modified by wire electrical discharge machining (EDM). EDM surface characteristics were evaluated by scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), thin-film X-ray diffractometry (XRD) and contact angle measurements. MC3T3-E1 cell morphology, attach...