Electrical Discharge Machining (EDM) is a time consuming process and the operating cost is high. Optimum machining conditions reduces the machining time in the EDM process and yield better performances. Electrode material is also having their significance in the performances. In this paper a work has been carried out with different electrode materials namely copper, brass and tungsten while EDM...

Linear stochastic differential equations (SDE) are expressed as an exact discrete model (EDM) and estimated with structural equation models (SEM) and the Kalman filter (KF) algorithm. The SEM likelihood is well defined even for the times series case and the SEM and KF approach yield the same likelihood. The oversampling approach is introduced in order to formulate the EDM on a time grid which i...

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...

Electrical discharge machining is assessed on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (SR). Process parameters that mostly affected the EDM Process are Pulse on Time, Pulse off Time, Discharge Current, Arc Gap and Duty Cycle. This paper reviews research for the optimization and improvement of various performance parameters measured in the experiment...

among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...

Electrical Discharge Machining (EDM) is a non conventional machining process, where electrically conductive materials are machined by using precisely controlled sparks that occur between an electrode and a work piece in the presence of a dielectric fluid. It has been a demanding research area to model and optimize the EDM process in the present scenario. Lots of efforts have been exercised to m...

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...

The esophageal Doppler monitor (EDM) is a clinically useful device for minimally invasive assessment of cardiac output, preload, afterload, and contractility. An empirical model, based upon the logistic function, has been developed. Use of this model illustrates how the EDM could estimate the net effect of aortic and non-aortic contributions to inertia, resistance, and elastance within real tim...