Parametric optimization of wire cut electrical  discharge machining

Durairaj, M.; Ansari, Amir; Gauthamkumar, M.H.

doi:10.14419/ijet.v3i2.1807

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Melting temperature of En45A alloy steel is 1425°c and its density is 8.08 gm/cm 3 . Chemical compositions of En45A alloy steel material are as below shown in Table 1 (Durairaj et al, 2014). This technique is found by Genichi Taguchi, a Japanese scientist which is based on orthogonal array (Rao and Selvaraj, 2013).…”

Section: Selection Of Materialsmentioning

confidence: 99%

Multi responses optimization of wire EDM process parameters using Taguchi approach coupled with principal component analysis methodology

Dhakad¹,

Vimal²

2017

Int. J. Eng. Sci. Tech

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Section: Selection Of Materialsmentioning

confidence: 99%

Multi responses optimization of wire EDM process parameters using Taguchi approach coupled with principal component analysis methodology

Dhakad¹,

Vimal²

2017

Int. J. Eng. Sci. Tech

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“…However, much work has been reported in literature regarding EDM of super alloys like Inconel 718 [5][6][7] SuperCo605 [8], Ni-based alloy [9], Inconel 800 [10], Nimonic 75 [11] and Monel 400 [12,13], there is scanty of data in respect of EDM of Inconel 825. Rahul et al [14] studied the surface integrity and metallurgical characteristics of Inconel 825 using cryogenically treated tool and non-treated tool.…”

Section: Introductionmentioning

confidence: 99%

Machining Characteristics and Parametric Optimisation of Inconel 825 during Electric Discharge Machining

2020

Teh. vjesn

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This paper presents the machining characteristics and parametric optimisation of Inconel 825 during die-sinking electrical discharge machining (EDM) process. This work considers seven input parameters out of which six are of three levels and one is of one level. Metal removal rate (MRR), tool wear rate (TWR) and surface roughness (SR) have been considered as performance measures. Before carrying out physical experimental runs, the experiments have been designed using Taguchi's L36 (2 1 × 3 6 ) orthogonal array (OA). In order to identify the significant input parameters, Analysis of Variance has been employed on the experimental data. Discharge current, pulse-on-time, tool material and tool electrode lift time are found as significant input parameters. The effects of these significant parameters on the performance measures have been presented using Taguchi's technique. After machining, study of surface characteristics of the electric discharged machined surface has been carried out using scanning electron microscopy (SEM), energy dispersive x-ray spectroscopy (EDXS) and X-ray diffraction (XRD). These studies help in obtaining the information pertaining to topography of the machined surface, material transfer from tool and dielectric to the machined surface, and presence of extra element and their different phases at the machined surface. It has been found from the research that Carbon, Oxygen, Iron, Nickel, Chromium and little amount of Molybdenum are transferred to the surface of work piece. Further, for the best yield of the process, the optimal combination of input parameters has been obtained and reported using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as a multi-objective optimisation technique. Consideration of two different dielectric fluids and three different electrode materials is the novelty of the work.

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“…AISI 321 stainless steel is widely used in the aircraft, exhaust pipe and boiler steam drum due to its excellent mechanical properties of mechanical resistance, wear and corrosion. Many researchers had studied the machining parameters in EDM [1] [2] [3], Wire EDM [4] and micro-EDM [5] of stainless steel. However, low efficiency limited the application of EDM.…”

Section: Introductionmentioning

confidence: 99%

A Novel Compound Machining of AISI 321 Stainless Steel Using Small Diameter Electrodes

Shen

Dong

et al. 2014

AMM

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Experiments of high-efficiently compound machining (CM) combined by EDM and arc machining of AISI 321 stainless steel at 658mm3/min material removal rate (MRR) using solid electrodes of different materials and different diameters of less than 5mm were conducted. The CM process parameters, including electrode rotation speed, peak current, electrode materials and electrode diameter, were studied to evaluate the effect on MRR, relative electrode wear rate (REWR) and width of overcut (WOC). The re-solidified layer of 321 for CM was also investigated. Faster electrode rotation speed, higher peak current, larger electrode diameter and pure tungsten electrode material are essential to achieve lower REWR and higher MRR. The processing conditions were bad using electrode diameter of 2mm. The re-solidified materials are significantly more densely than base materials.

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Parametric optimization of wire cut electrical discharge machining

Cited by 5 publications

References 3 publications

Multi responses optimization of wire EDM process parameters using Taguchi approach coupled with principal component analysis methodology

Multi responses optimization of wire EDM process parameters using Taguchi approach coupled with principal component analysis methodology

Machining Characteristics and Parametric Optimisation of Inconel 825 during Electric Discharge Machining

A Novel Compound Machining of AISI 321 Stainless Steel Using Small Diameter Electrodes

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