Experimental Study of Electrical Discharge Machine (die sinking) on Stainless Steel 316L Using Design of Experiment

Sharif, Safian; Safiei, Wahaizad; Mansor, Ahmad Fairuz; Isa, Mohd Halimudin Mohd; Saad, R. Mohd

doi:10.1016/j.promfg.2015.07.026

Cited by 19 publications

(12 citation statements)

References 1 publication

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“…The MRR was dependent on cumulative electrical charge obtained from individual sparking cycle and the highest MRR was obtained at higher Ip and a longer Ton duration. Sharif et al, [12] established models to relate Ip, V, Ton and Toff with MRR, TWR, Ra and dimensional accuracy while die-sinking of stainless steel (3161) using copper impregnated graphite tool. Deepak et al, [13] optimised the process parameters which produced minimum Ra while EDM of D2 using copper tool and established constant value to predict the Ra.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Current and Pulse Duration in Electric Discharge Drilling of D2 Steel Using Graphite Electrode

Deepak

Suhas

Ganti

et al. 2018

IJAME

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Electric discharge machining (EDM) is one of the viable techniques for machining of D2 steel, in which the material removal occurs by spark erosion. The poor selection of EDM parameters affect the machining quality and productivity. Considering this, the present work investigates the effect of current, charging and discharging time on the material removal rate (MRR) and the surface roughness (Ra) while machining of D2 steel using graphite electrode. The results were analysed using statistical methods to identify the effect of control parameters and to optimise the settings. The study shows that MRR and Ra was significantly influenced by current. At optimum settings, the MRR and the Ra obtained was 38.16 mg/min and 3.39 µm respectively. Morphological analysis of the machined surface show that the size of the globules formed decreased with increase in current.

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Section: Introductionmentioning

confidence: 99%

Optimisation of Current and Pulse Duration in Electric Discharge Drilling of D2 Steel Using Graphite Electrode

Deepak

Suhas

Ganti

et al. 2018

IJAME

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“…All others involved EDM parameters (voltage, spark on time, spark off time, gapinitiation voltage, pulse cycle, polarity) are kept constant while current is varied [10]. The currents are set up in 10 level, start from 0.5 A up to 5 A, with an increment of 0.5 A, each done three repetitions.…”

Section: Methodsmentioning

confidence: 99%

“…The experiment sequence is randomized using software based on variety of current. By using the result, in form of surface roughness and processing time corresponding with the value of electric current used, the regression analysis will be used to obtain the formulation so that at a certain point it is known as the point to change to the final current in order to obtain the possible shortest processing time [10].…”

Section: Methodsmentioning

confidence: 99%

Regression Equations to Determine the Stages of Electric Current in Electrical Discharge Machining (EDM) According to the Level of Desired Surface Roughness with Shortest Processing Time

et al. 2019

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Electrical Discharge Machining (EDM) is one of the most common non-conventional machining processes used in the manufacturing of die and mold. In the process of EDM, practitioners usually face a problem, which is how to shorten process time and determine the point where the current should be changed so that the resulted surface roughness is not too high due to the use of large current at the beginning of the process. The purpose of this study is to determine the point when to change (reduce) the current in order to obtain the desired surface roughness and shortest processing time. From analysis of data, experiment was obtained some regression equations, those are: average surface roughness (Ra = 5424 + 0.698 I) which is used to find the final current to obtain the desired final surface roughness, peaks to valleys average roughness (Rz = 5.73 + 3.418 I) which is used to find the changing point for initial currentand duration of processing time (t =103.164 + 0.4714 I) which is used to estimate the duration of processing time with the input of initial and final currents.

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“…During the effect of input process parameters in the machining of twoelectrode 316L as specimen and copper-impregnated graphite as tool, it was noticed that a mathematical modeling was used for resulting parameters, namely MRR, EW, SR, and dimensional accuracy which showed the result with less than 15% error. Therefore, the developed model is suitable for all response variable and dimensional accuracy [102]. During the machining of Inconel 718 alloy, a proposed model showed the increase of current and duty cycle as more energetic pulses increases MRR.…”

Section: Modeling and Optimization Of Mrrmentioning

confidence: 97%

A review on optimization of machining performances and recent developments in electro discharge machining

Nahak

Gupta

2019

Manufacturing Rev.

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Electro discharge machining (EDM) is a popular unconventional machining process widely employed in die-making industries. Careful selection of process parameters such as pulse current, voltage, on and off time, etc. is essential for machining of hard and conductive materials using EDM. Previous researchers working in the area of EDM have extensively analyzed the machining performance through experimental study, modeling, and simulation and also by theoretical analysis. This article discusses the significant summary of the work performed by earlier researchers through a detailed literature survey. Relevant literature on EDM and impact of process parameters on performance measures such as surface quality, tool wear rate and material removal rate are reviewed. The challenge and limitation of EDM process are also highlighted in this article. It is observed that optimization of process parameters is essentially required for effective and economical machining. So, this article addresses the various issues related to EDM and also provides brief insight into some of the current generation applications of EDM process explored in various industries.

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Experimental Study of Electrical Discharge Machine (die sinking) on Stainless Steel 316L Using Design of Experiment

Cited by 19 publications

References 1 publication

Optimisation of Current and Pulse Duration in Electric Discharge Drilling of D2 Steel Using Graphite Electrode

Optimisation of Current and Pulse Duration in Electric Discharge Drilling of D2 Steel Using Graphite Electrode

Regression Equations to Determine the Stages of Electric Current in Electrical Discharge Machining (EDM) According to the Level of Desired Surface Roughness with Shortest Processing Time

A review on optimization of machining performances and recent developments in electro discharge machining

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