The present research is the first type of study in which the application of powder mixed electrical discharge machining (PMEDM) for the machining of β-phase titanium (β-Ti) alloy has been proposed....

Experimental investigations in powder mixed electric discharge machining of Ti–35Nb–7Ta–5Zrβ-titanium alloy

Multi-objective particle swarm optimization of EDM parameters to deposit HA-coating on biodegradable Mg-alloy

Surface modification of Ti-alloy by micro-electrical discharge process using tungsten disulphide powder suspension

Fundamentals of vibration

Electrical discharge machining (EDM) is a modern technology that is widely used in the production of difficult to cut conductive materials. The basic problem of EDM is the stochastic nature of electrical discharges. The optimal selection of machining parameters to achieve micron surface roughness and the recast layer with the maximal possible value of the material removal rate (MRR) is quite challenging. In this paper, we performed an analytical and experimental investigation of the influence of the EDM parameters: Surface integrity and MRR. Response surface methodology (RSM) was used to build empirical models on the influence of the discharge current I, pulse time ton, and the time interval toff, on the surface roughness (Sa), the thickness of the white layer (WL), and the MRR, during the machining of tool steel 55NiCrMoV7. The surface and subsurface integrity were evaluated using an optical microscope and a scanning profilometer. Analysis of variance (ANOVA) was used to establish the statistical significance parameters. The calculated contribution indicated that the discharge current had the most influence (over the 50%) on the Sa, WL, and MRR, followed by the discharge time. The multi-response optimization was carried out using the desirability function for the three cases of EDM: Finishing, semi-finishing, and roughing. The confirmation test showed that maximal errors between the predicted and the obtained values did not exceed 6%.

Multi-Response Optimization of Electrical Discharge Machining Using the Desirability Function

This paper introduces selective modification of surface by electric discharge machining process and its parametric optimization A hard layer of tungsten and copper mixture is created at selected area of aluminum surface The process is done using W–Cu powder metallurgical green compact tool and masking technique in die-sinking electric discharge machining (EDM) The modified surface is evaluated by the performance measures such as tool wear rate, material transfer rate, surface roughness, and edge deviation from the pre-defined boundary line of deposited layer by analysis of variance using Taguchi design of experiment Minimum surface roughness of 45 µm and minimum edge deviation of 3729 µm is achieved The hardness of the surface layer is increased more than three times of base metal Overall effects of parameters are also analyzed considering multiple performance criteria using overall evaluation criteria The modified surface is characterized using scanning electron microscopy and energy dispersive 

Parametric Optimization for Selective Surface Modification in EDM Using Taguchi Analysis

Surface modification of CFRP composite using reverse-EDM method

This work has described about the generation of complex shaped pattern using reverse electro discharge machining process. Powder metallurgical green compact tool has been used to generate a predefi...

Reverse EDM process for pattern generation using powder metallurgical green compact tool

This article describes a process of pattern generation by selective area deposition of material on aluminum workpiece. Tungsten–copper powder metallurgical green compact tool and polyvinylc...

Pattern generation by selective area deposition of material in EDM

This paper presents a novel application of masking technique for pattern generation in electric discharge machining (EDM). The experimental study was carried out to explore the capability of pattern generation using shaped masking and simple flat end tool electrode without any pattern on it. Powder metallurgical (P/M) green compacts of composition 75%W-25%Cu were used as tools and aluminium as work material. Powder materials were deposited at pre-defined area of work surface to generate some rectangular block pattern. Deviation from pre-defined boundary line was observed to analyse the geometric dimensional accuracy. Experimental results showed that compact load plays very important role followed by peak current (Ip) and pulse on-time (Ton) over the surface roughness and edge roughness of the pattern. At optimum condition, surface roughness was found to be 3.17 µm and edge roughness to be 6.42 µm. SEM, EDS and XRD analyses confirmed tool material transfer to pre-defined area.

Maneswar Rahang

Papers

Parametric Optimization for Selective Surface Modification in EDM Using Taguchi Analysis

Surface modification of CFRP composite using reverse-EDM method

Reverse EDM process for pattern generation using powder metallurgical green compact tool

Pattern generation by selective area deposition of material in EDM

Application of masking technique in EDM for generation of rectangular shaped pattern