Investigating the effects of electric discharge machining parameters on material removal rate and surface roughness on AISI D2 steel using RSM-GRA integrated approach

The present research focuses on optimizing the process parameters of die-sinking electric discharge machining on tool steel. The basic objective of this research is to investigate the influence of two categorical factors including dielectric type and electrode polarity, and two numeric factors including discharge current, and Spark/Discharge Gap on material removal rate (MRR) and surface roughness (Ra) for machining of AISI D2 steel. Box-Bhenken design based on response surface methodology (RSM) was applied for experimental design. For estimation and evaluation, the effects of the process parameters on response variables, RSM has been integrated with grey relational analysis (GRA). Ranking of factors has been done with respect to the grey relational grade. (ANOVA) was further performed for determining the significance of grey relational grade. ANOVA results reveal that that polarity having 50% of percentage contribution was the most significant factor affecting the performance measures followed by the spark gap, discharge current, and dielectric type. The grey relational grades were further optimized through desirability function and the optimal condition for input parameters was obtained. The optimum levels were discharge current at 15 A, dielectric type of kerosene oil, spark gap at 6 mm, and polarity of positive has been determined. The confirmatory tests were run for verifying and validating the results and improvement in productivity (MRR) up to 17.23 mm3/min and quality (Ra) up to 3.86 μm at an optimum have been observed.

[1]  A. Rajadurai,et al.  Electric discharge machining of Al-SiC metal matrix composites using rotary tube electrode , 2004 .

[2]  Masanori Kunieda,et al.  Advancing EDM through fundamental insight into the process , 2005 .

[3]  S. S. Pande,et al.  Thermo-physical modeling of die-sinking EDM process , 2010 .

[4]  T. Muthuramalingam,et al.  A review on influence of electrical process parameters in EDM process , 2015 .

[5]  Kuldeep Ojha,et al.  MRR Improvement in Sinking Electrical Discharge Machining: A Review , 2010 .

[6]  A. Goyal.  Investigation of material removal rate and surface roughness during wire electrical discharge machining (WEDM) of Inconel 625 super alloy by cryogenic treated tool electrode , 2017 .

[8]  Pradeep Kumar,et al.  Technology and research developments in powder mixed electric discharge machining (PMEDM) , 2007 .

[9]  I. Pashby,et al.  A review on the use of environmentally-friendly dielectric fluids in electrical discharge machining , 2004 .

[10]  Essam Shehab,et al.  Effect of Different Dielectrics on Material Removal Rate, Electrode Wear Rate and Microstructures in EDM ☆ , 2017 .

[11]  Baoping Cai,et al.  Study of the recast layer of a surface machined by sinking electrical discharge machining using water-in-oil emulsion as dielectric , 2011 .

[12]  Chao Zheng,et al.  Compound machining of titanium alloy by super high speed EDM milling and arc machining , 2014 .

[13]  K. Ray,et al.  Optimization of the duration of cryogenic processing to maximize wear resistance of AISI D2 steel , 2009 .

[14]  Pradeep Kumar,et al.  Effect of Silicon Powder Mixed EDM on Machining Rate of AISI D2 Die Steel , 2007 .

[15]  L. Kumaraswamidhas,et al.  An investigation of mechanical properties and material removal rate, tool wear rate in EDM machining process of AL2618 alloy reinforced with Si3N4, AlN and ZrB2 composites , 2015 .

[16]  J. L Lin,et al.  The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics , 2002 .

[17]  Mohan Kumar Pradhan,et al.  Neuro-fuzzy and neural network-based prediction of various responses in electrical discharge machining of AISI D2 steel , 2010 .

[18]  C. Kuo,et al.  Discharge current effect on machining characteristics and mechanical properties of aluminum alloy 6061 workpiece produced by electric discharging machining process , 2017 .

[19]  I. Puertas,et al.  Modelling of surface finish, electrode wear and material removal rate in electrical discharge machining of hard-to-machine alloys , 2015 .

[20]  Vishal S. Sharma,et al.  Review of research work in sinking EDM and WEDM on metal matrix composite materials , 2010 .

[21]  Liam Blunt,et al.  Effect of EDM process parameters on 3D surface topography , 2004 .

[22]  A. Rajadurai,et al.  Effect of SiC and rotation of electrode on electric discharge machining of Al–SiC composite , 2002 .

[23]  T. Muthuramalingam,et al.  Influence of Discharge Current Pulse on Machinability in Electrical Discharge Machining , 2013 .

[24]  Y. Yildiz.  Prediction of white layer thickness and material removal rate in electrical discharge machining by thermal analyses , 2016 .

[26]  Mohan K. Pradhan,et al.  Experimental Investigation of EDM Parameters on Al-LM6/SiC/B4C Hybrid Composites , 2018 .

[27]  B. Yan,et al.  The effect in EDM of a dielectric of a urea solution in water on modifying the surface of titanium , 2005 .

[28]  Jose Mathew,et al.  Optimization of Material Removal Rate in Micro-EDM Using Artificial Neural Network and Genetic Algorithms , 2010 .

[29]  Connie M. Borror,et al.  Response Surface Methodology: A Retrospective and Literature Survey , 2004 .