Optimization of Electrical Discharge Machining Process Parameters using SCM420 low alloy steel by Response Surface Methodology

Morankar, K.S; Shelke, Rahul D.

doi:10.9790/1684-1401047579

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The results show that cracks are observed on the machined surface due to internal stresses caused by heating and sudden cooling of a surface. Morankar and Shelke [7] have presented a model by using RSM, as regards peak current, pulse on time, gap voltage to evaluate the metal removal rate (MRR), and surface roughness (SR). The results indicate that the peak current and the pulse on time have a prominent impact on the values of SR and MRR.…”

Section: Introductionmentioning

confidence: 99%

Regression and Statistical Analysis of Process Parameters on Heat Affected Zone in Electrical Discharge Machining of Tool Steel

Shather¹,

Aghdeab²,

Khudier³

2020

ETJ

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The presented study has the aim of finding out the relationships between input variables and process parameters that describe mathematical models, also to estimate the impact of independent parameters on the Heat Affected Zone (HAZ). In the presented paper, A2-Tool Steel material is the utilized workpiece material, whereas copper is the electrode material. RSM, which is the abbreviation of Response Surface Methodology, is used for identifying the impact of controllable parameters; such controllable effects consist of pulse current, pulse on time, and pulse off time on HAZ. It has been noticed that model has been developed by RSM adequacy is suitable since the coefficient related to the determination is considered closest to one for HAZ, whereas the highest percentage of error between experimental and predicted data is (-13.829%). From ANOVA, the pulse current has the most significant factor affected on HAZ with 67.219% contribution.

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Section: Introductionmentioning

confidence: 99%

Regression and Statistical Analysis of Process Parameters on Heat Affected Zone in Electrical Discharge Machining of Tool Steel

Shather¹,

Aghdeab²,

Khudier³

2020

ETJ

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“…The performance features related to the hybrid process are significantly dissimilar to those of single-phase processes regarding surface quality, productivity, and accuracy [2]. K. Morankar and R. Shelke [3], Introduced a model through utilizing RSM, which is an abbreviation for Response Surface Methodology, with regard to gap voltage, pulse on time and peak current for evaluating the surface roughness and metal removal rate. The results show that the pulse on time and the peak current have considerable effects on surface roughness and MRR values.V.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Surface Crack Density Produced by EDM Using Hybrid Machining

Shather¹,

Aghdeab²,

Khudier³

2019

ETJ

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Examination and Optimization of Machining Parameters in Electrical Discharge Machining of UNS T30407 Steel

Singh

2021

J. Adv. Manuf. Syst.

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Electrical discharge machining (EDM) is a non-conventional process utilized for machining electrically conductive materials which cannot be machined by conventional processes. This paper is focused on modeling and optimization in electrical discharge machining (EDM) of UNS T30407 steel. The variables such as pulse on time (Ton), pulse off time (Toff), and current will influence the material removal rate (MRR) and surface roughness (Ra) which were taken as response variables. Experimental data were collected as per the central composite design (CCD) matrix of response surface methodology (RSM) approach and mathematical models have been developed for both the response variables. The analysis of variance (ANOVA) was employed to determine the significant machining parameters and optimize the input parameters for both the responses (MRR and Ra). The statistical adequacy of the models is tested with the help of ANOVA. The optimum parametric combination for maximum MRR and smaller Ra (highest surface finish) was found. The surface characteristics of the machined surface were investigated by a scanning electron microscope (SEM).

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Optimization of Electrical Discharge Machining Process Parameters using SCM420 low alloy steel by Response Surface Methodology

Cited by 4 publications

References 6 publications

Regression and Statistical Analysis of Process Parameters on Heat Affected Zone in Electrical Discharge Machining of Tool Steel

Regression and Statistical Analysis of Process Parameters on Heat Affected Zone in Electrical Discharge Machining of Tool Steel

Enhancement of Surface Crack Density Produced by EDM Using Hybrid Machining

Examination and Optimization of Machining Parameters in Electrical Discharge Machining of UNS T30407 Steel

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