Computer simulation of performance of electrical discharge machining operations

Sánchez, J.A.; Izquierdo, B.; Ortega, Naiara; Pombo, I.; Plaza, Soraya; Cabanes, Itziar

doi:10.1080/09511920902741125

Cited by 13 publications

(4 citation statements)

References 17 publications

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“…In the CWEDT process, a reduced number of influence factors have been examined by Haddad et al (2009). Sánchez et al (2009) showed that experimental trials are required in many cases to set up the optimum conditions for any of EDM operation. An MRR study, together with SR and roundness of CWEDT, has been carried out by Haddad and Tehrani (2008a).…”

Section: Literature Review On Cwedtmentioning

confidence: 99%

Investigation and modelling of process parameters and workpiece dimensions influence on material removal rate in CWEDT process

Gjeldum

Bilić

Veža

2014

International Journal of Computer Integrated Manufacturing

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Cylindrical wire electrical discharge turning (CWEDT) is a special form of wire electrical discharge machining (WEDM) process, which uses submerged rotation spindle as a clamping device for workpiece rotation in order to produce cylindrical parts. This study aims at determining influence on material removal rate (MRR) of CWEDT as an objective function. In the preliminary experiments, the widely used X5CrNi18-10 (DIN) and hard machinable S390PM (DIN) were used. The results of preliminary experiments showed that the type of steel is not the factor that has a significant influence on MRR. Pulse maximum current, pulse pause time, rotation speed, length of discharge area and cutting radius were used in MRR mathematical modelling by neural network programming. The results of the study exhibit that among the machining parameters, the pulse maximum current has the strongest influence on MRR. When the pulse maximum current increases, MRR increases as well. The discharge area length has an influence on MRR only on higher pulse maximum current values, and by the increase of the discharge area length, the MRR also increases. The derived mathematical model for MRR, which was finally validated and tested, enables calculation of complex cylindrical part production machining time for the given experimental set-up condition.

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Section: Literature Review On Cwedtmentioning

confidence: 99%

Investigation and modelling of process parameters and workpiece dimensions influence on material removal rate in CWEDT process

Gjeldum

Bilić

Veža

2014

International Journal of Computer Integrated Manufacturing

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“…Sanchez et. al [6] solved an inversion model, based on the least squares theory, which involves establishing the values of the EDM input to ensure the simultaneous fulfilment of various responses along with and surface roughness. Chen and Mahdavian, [7] represented various graphs to elucidate the relationship between the performance output results of SR. Mandal et.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surface Roughness in EDM for D2 Steel by RSM-GA Approach

Anitha¹,

Das²,

Pradhan³

2014

ujme

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Modeling and optimization of machining parameters are very important in any machining processes. The current study provides predictive models for the functional relationship between various factors and responses of electrical discharge machined AISI D2 steel component. Surface Roughness (Ra) is important as it influences the quality and performance of the products, hence the minimization of surface roughness in manufacturing sectors is of maximum importance. It is also realistic and desirable if the finished parts do not need further any operations to meet the required optimum level of surface quality. For achieving the required optimum levels of surface quality, the proper selection of machining parameters in EDM is essential. Four significant machining parameters, Ip (Pulse Current), Ton (Pulse on Time), Toff (Off Time) and V (Gap Voltage) in the EDM process have been selected and with the various combination experiments were conducted. A mathematical regression model was developed to predict the average Surface Roughness in electrical discharge machined surface. The developed model was validated with new experimental data. The model was coupled with genetic algorithm to predict the minimum possible surface roughness. It is found that the predicted and experimental values were close to a certain extent, which specifies that the established model can be successfully used to predict the surface roughness. Also, the developed model could be used for the selection of the levels in the EDM process for saving in machining time and product cost can be achieved by utilizing the model.

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“…Das et al [18] developed a finite element based model to predict the shape of the material removal and observed that close to the spark location, a single spark discharge can provide residual stress of the order of the tensile strength that may produce micro cracks in white layer. Using finite difference approach, temperature fields inside the workpiece was simulated taking into account the effect of successive discharges [19]. Salah et al [20] presented results for predicting temperature distribution and using the temperature distribution for measuring MRR and roughness for comparing results with the experimental results.…”

Section: Introductionmentioning

confidence: 99%

Predictor Equations for Estimating Crater Dimensions in PMEDM Process Using Fem Simulation and Experimental Validation

Bhattacharya

Batish

2013

MSF

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In the present study, the powder mixed EDM (PMEDM) process was simulated using FE approach to obtain simulated temperature profiles for estimating the crater dimensions and volume removed during formation of each crater. The craters formed in PMEDM process had higher diameter and shallow depth resulting in improved MRR and better surface finish. The addition of powder increased the amount of heat available at the workpiece between 20-25% as compared to conventional EDM process. The results were subsequently validated experimentally to compare the actual measurements with the simulation output. Predictor equations for crater radius and depth incorporating the significant factors were developed and also validated with the experimental results.

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Computer simulation of performance of electrical discharge machining operations

Cited by 13 publications

References 17 publications

Investigation and modelling of process parameters and workpiece dimensions influence on material removal rate in CWEDT process

Investigation and modelling of process parameters and workpiece dimensions influence on material removal rate in CWEDT process

Optimization of Surface Roughness in EDM for D2 Steel by RSM-GA Approach

Predictor Equations for Estimating Crater Dimensions in PMEDM Process Using Fem Simulation and Experimental Validation

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