Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method

Kansal, H. K.; Singh, Sehijpal; Kumar, Pradeep

doi:10.1016/j.mcm.2007.05.016

Cited by 171 publications

(103 citation statements)

References 29 publications

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“…They explained that this phenomenon can be explained by the differences of thermal conductivity of the cathode and anode. Kansal et al [8] developed a model to calculate the temperature distribution in the workpiece material by employing the ANSYS software in the powder mixed electrical discharge machining. In their presented model it has been assumed that 9% of the total heat was absorbed by the workpiece.…”

Section: Introductionmentioning

confidence: 99%

Mathematical and numerical modeling of the effect of input-parameters on the flushing efficiency of plasma channel in EDM process

Shabgard

Ahmadi

Seyedzavvar

et al. 2013

International Journal of Machine Tools and Manufacture

140

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a b s t r a c tIn the present study, the temperature distribution on the surface of workpiece and tool during a single discharge in the electrical discharge machining process has been simulated using ABAQUS code finite element software. The temperature dependency of material properties and the expanding of plasma channel radius with time have been employed in the simulation stage. The profile of temperature distribution has been utilized to calculate the dimensions of discharge crater. Based on the results of FEM and the experimental observations, a numerical analysis has been developed assessing the contribution of input-parameters on the efficiency of plasma channel in removing the molten material from molten puddles on the surfaces of workpiece and tool at the end of each discharge. The results show that the increase in the pulse current and pulse on-time have converse effects on the plasma flushing efficiency, as it increases by the prior one and decreases by the latter one. Later, the introduced formulas for plasma flushing efficiency based on regression model were utilized to predict the cardinal parameter of recast layer thickness on the electrodes which demands expensive empirical tests to be obtained.

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Section: Introductionmentioning

confidence: 99%

Mathematical and numerical modeling of the effect of input-parameters on the flushing efficiency of plasma channel in EDM process

Shabgard

Ahmadi

Seyedzavvar

et al. 2013

International Journal of Machine Tools and Manufacture

140

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“…EDM dielectric-water-in-oil, kerosene and deionized water were studied to get high MRR and low EWR [15][16][17][18]. Powder-mixed EDM is one of the methods for improving the capabilities of EDM, which can reduce the gap between the tool and work piece, and make the machining more stable and improve the MRR [19][20][21][22]. Cryogenic cooling and treatment method can reduce EWR in Ti-6Al-4V and Ti 6246 alloy EDM [23,24].…”

Section: Introductionmentioning

confidence: 99%

Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

Tang

2013

Int J Adv Manuf Technol

104

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Ti-6Al-4V is widely used in the aerospace, automobile, and biomedical fields, but is a difficult-to-machine material. Electrical discharge machining (EDM) is regarded as one of the most effective approaches to machining Ti-6Al-4V alloy, since it is a non-contact electro-thermal machining method, and it is independent from the mechanical properties of the processed material. This paper aims to combine grey relational analysis and Taguchi methods to solve the problem of EDM parameters optimization. From the viewpoint of health and environment, tap water as working fluid has good working environment, since it does not release harmful gas. The process parameters include discharge current, gap voltage, lifting height, negative polarity and pulse duty factor. The electrode wear ratio (EWR), material removal rate (MRR) and surface roughness (SR) as objective parameters are chosen to evaluate the whole machining effects. Experiments were carried out based on Taguchi L 9 orthogonal array and grey relational analysis, and then verified the results through a confirmation experiment. Compared the machining parameters A 1 B 1 C 3 D 2 with A 1 B 2 C 2 D 2 , MRR increased from 1.28 mm 3 /min to 2.38 mm 3 /min, EWR decreased from 0.14 to 0.10 mm 3 /min and SR decreased from Ra 2.37 μm to Ra 1.93 μm. The process parameters sequenced in order of relative importance are: the ratio of pulse width to pulse interval, discharge current, lifting height and gap voltage. The results showed that using tap water machining Ti-6Al-4V material can obtain high MRR, decrease the machining cost and have no harmful to the operators and the environment.

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“…Results achieved with Silicon powder is 0.24µm and without silicon powder is 0.91µm. Kansal et al [4] they noted that by suspending silicon powder into the dielectric fluid of EDM and an enhanced rate of material removal and surface finish can be achieved. The material removal rate increases with the increase in the concentration of the silicon powder.…”

Section: Methodsmentioning

confidence: 99%

Effect of Silicon Carbide Powder Mixed EDM on Machining Characteristics of SS 316L Material

Gudur¹,

Potdar²

2015

IJIRSET

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ABSTRACT:In this paper Silicon Carbide powders mixing into the dielectric fluid of EDM on machining characteristic of SS316 L materials has been proposed. Various process parameters namely peak current, pulse-on time, pulse-off time, powder concentration, powder grain size and nozzle flushing, duty factor, etc have been considered. The process performance is measured in terms of Response variables like Material Removal Rate(MRR) & Surface Roughness(SR). Number of experiments to be conducted is based on Taguchi orthogonal array with three level and three factors. The outcomes are expected to increase MRR, improve surface finish/reduce surface roughness..

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Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method

Cited by 171 publications

References 29 publications

Mathematical and numerical modeling of the effect of input-parameters on the flushing efficiency of plasma channel in EDM process

Mathematical and numerical modeling of the effect of input-parameters on the flushing efficiency of plasma channel in EDM process

Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

Effect of Silicon Carbide Powder Mixed EDM on Machining Characteristics of SS 316L Material

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