PROCESS PARAMETERS OPTIMIZATION FOR SURFACE ROUGHNESS IN EDM FOR AISI D2 STEEL BY RESPONSE SURFACE METHODOLOGY

In this investigation, response surface methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and gape voltage on material removal rate (MRR). A face centred central composite design matrix is used to conduct the experiments on AISI D2 with copper electrode. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 95% confidence level. It is found that discharge current and pulse duration are significant factors. RSM is a precision methodology that needs only 31 experiments to assess the conditions.

[1]  B. C. Routara,et al.  APPLICATION OF RESPONSE SURFACE METHOD FOR MODELLING OF STATISTICAL ROUGHNESS PARAMETERS ON ELECTRIC DISCHARGE MACHINING , 2022 .

[2]  Mohan Kumar Pradhan,et al.  Modelling of machining parameters for MRR in EDM using response surface methodology , 2008 .

[3]  Md. Abdul Maleque,et al.  Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model , 2011 .

[4]  A. S. Varadarajan,et al.  OPTIMIZATION OF SURFACE FINISH DURING MILLING OF HARDENED AISI4340 STEEL WITH MINIMAL PULSED JET OF FLUID APPLICATION USING RESPONSE SURFACE METHODOLOGY , 2011 .

[5]  M. Rodge,et al.  INVESTIGATION ON PROCESS RESPONSE AND PARAMETERS IN WIRE ELECTRICAL DISCHARGE MACHINING OF INCONEL 625 , 2013 .

[6]  Response Surface Approach for Optimization of Sinker Electric Discharge Machine Process Parameters on AISI 4140 Alloy Steel , 2012 .

[7]  Mohan Kumar Pradhan,et al.  Effect of process parameters on surface roughness in EDM of tool steel by response surface methodology , 2011 .

[8]  Prasanta Sahoo,et al.  Roughness modelling and optimisation in EDM using response surface method for different work piece materials , 2009 .

[9]  S G Mane AN OVERVIEW OF EXPERIMENTAL INVESTIGATION OF NEAR DRY ELECTRICAL DISCHARGE MACHINING PROCESS , 2012 .

[10]  Jomy Joseph,et al.  DEVELOPMENT OF MODELS USING GENETIC PROGRAMMING FOR TURNING INCONEL 718 WITH COATED CARBIDE TOOLS , 2013 .

[11]  S. Ubale,et al.  OPTIMIZATION OF CYLINDRICAL GRINDING PROCESS PARAMETERS FOR AISI 1040 STEEL USING TAGUCHI METHOD , 2011 .

[12]  B. Tyagi,et al.  OPTIMIZATION OF PROCESS PARAMETERS OF WIRE ELECTRICAL DISCHARGE MACHINING OF AISI 316L , 2012 .