Numerical study of thermal aspects of electric discharge machining process

Salah, Nizar Ben; Ghanem, Farhat; Atig, Kaïs Ben

doi:10.1016/j.ijmachtools.2005.04.022

Cited by 71 publications

(24 citation statements)

References 8 publications

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“…Salah et al presented a numerical model [6] considering Gaussian-distributed heat source to study the temperature distribution during EDM process, and the thermal results were used for predicting the material removal rate and the total roughness. And the fraction of the total heat delivering to the workpiece was assumed to be 0.08 in their model.…”

Section: Femmentioning

confidence: 99%

A hybrid process model for EDM based on finite-element method and Gaussian process regression

Ming

Zhang

et al. 2014

Int J Adv Manuf Technol

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This paper proposed a hybrid intelligent process model, based on finite-element method (FEM) and Gaussian process regression (GPR), for electrical discharge machining (EDM) process. A model of single-spark EDM process has been constructed based on FEM method, considering the latent heat, variable heat distribution coefficient of cathode (f c ), and plasma flushing efficiency (PFE), to predict material removal rate (MRR) and surface roughness (Ra). This model was validated using reported analytical and experimental results. Then, a GPR model was proposed to establish relationship between input process parameters (pulse current, pulse duration, and discharge voltage) and the process responses (MRR and Ra) for EDM process. The GPR model was trained, tested, and tuned using the

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Section: Femmentioning

confidence: 99%

A hybrid process model for EDM based on finite-element method and Gaussian process regression

Ming

Zhang

et al. 2014

Int J Adv Manuf Technol

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“…Ben Salah et al [6] presented a numerical model to study the temperature distribution at EDM process and used the thermal results for predicting the material removal rate and the total surface roughness. In their study, the fraction of the generated heat entering the workpiece was considered equal to 0.08.…”

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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“…In the literature, mainly two different heat input models are used, the point source model and the Gaussian heat input [9]. In the present work, the Gaussian heat distribution has been employed to approximate the heat from the plasma channel [13].…”

Section: Model Details 21 Heat Inputmentioning

confidence: 99%

“…However, these studies were based on the use of experimental approaches and statistical analyses. In few studies, pure theoretical approaches have been proposed to estimate the outputs of EDM process, using FE or analytical methods [9,12]. For instance, Ben Salah et al [9] presented a numerical model to study the temperature distribution in the EDM process, using the thermal results to predict the material removal rate and the total surface roughness.…”

Section: Introductionmentioning

confidence: 99%

“…In few studies, pure theoretical approaches have been proposed to estimate the outputs of EDM process, using FE or analytical methods [9,12]. For instance, Ben Salah et al [9] presented a numerical model to study the temperature distribution in the EDM process, using the thermal results to predict the material removal rate and the total surface roughness. They reported that taking into account the temperature dependence of the conductivity is of crucial importance to the accuracy of the numerical results and gives a better correlation with experimental observations.…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation and 3D finite element prediction of the white layer thickness, heat affected zone, and surface roughness in EDM process

et al. 2011

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An axisymmetric three-dimensional model for temperature distribution in the electrical discharge machining process has been developed using the finite element method to estimate the surface integrity characteristics of AISI H13 tool steel as workpiece. White layer thickness, depth of heat affected zone, and arithmetical mean roughness consisting of the studied surface integrity features on which the effect of process parameters, including pulse on-time and pulse current were investigated. Additionally, the experiments were carried out under the designed full factorial procedure to validate the numerical results. Both numerical and experimental results show that increasing the pulse on-time leads to a higher white layer thickness, depth of heat affected zone, and the surface roughness. On the other hand, an increase in the pulse current results in a slight decrease of the white layer thickness and depth of heat affected zone, but a coarser surface roughness. Generally, there is a good agreement between the experimental and the numerical results.

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Numerical study of thermal aspects of electric discharge machining process

Cited by 71 publications

References 8 publications

A hybrid process model for EDM based on finite-element method and Gaussian process regression

A hybrid process model for EDM based on finite-element method and Gaussian process regression

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

Experimental investigation and 3D finite element prediction of the white layer thickness, heat affected zone, and surface roughness in EDM process

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