Abstract
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.
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References
Joshi SN, Pande SS (2010) Thermo-physical modeling of die-sinking EDM process. J Manuf Process 12(1):45–56
Yan BH, Tsai HC, Huang FY (2005) The effect in EDM of a dielectric of a urea solution in water on modifying the surface of titanium. Int J Mach Tools Manuf 45(2):194–200
Kansal H, Singh S, Kumar P (2007) Technology and research developments in powder mixed electric discharge machining (PMEDM). J Mater Process Technol 184(1):32–41
Ramasawmy H, Blunt L (2004) Effect of EDM process parameters on 3D surface topography. J Mater Process Technol 148(2):155–164
Kunieda M, Lauwers B, Rajurkar KP, Schumacher BM (2005) Advancing EDM through fundamental insight into the process. CIRP Annals-Manuf Technol 54(2):64–87
Torres A, Puertas I, Luis CJ (2015) Modelling of surface finish, electrode wear and material removal rate in electrical discharge machining of hard-to-machine alloys. Precis Eng 40:33–45
Goyal A (2017) Investigation of material removal rate and surface roughness during wire electrical discharge machining (WEDM) of Inconel 625 super alloy by cryogenic treated tool electrode. J King Saud Univ Sci 29(4):528–535
Somashekhar K, Ramachandran N, Mathew J (2010) Optimization of material removal rate in micro-EDM using artificial neural network and genetic algorithms. Mater Manuf Process 25(6):467–475
Yildiz Y (2016) Prediction of white layer thickness and material removal rate in electrical discharge machining by thermal analyses. J Manuf Process 23:47–53
Kumar NM, Kumaran SS, Kumaraswamidhas L (2015) An investigation of mechanical properties and material removal rate, tool wear rate in EDM machining process of AL2618 alloy reinforced with Si 3 N 4, AlN and ZrB 2 composites. J Alloys Compd 650:318–327
Begum A, Reddy DR (2017) Effect of polarity on the machining characteristics and surface generation in EDM. Mater Today Proc 4(8):7674–7679
Kuo C-G et al (2017) Discharge current effect on machining characteristics and mechanical properties of aluminum alloy 6061 workpiece produced by electric discharging machining process. Adv Mech Eng 9(11):1687814017730756
Shukla M et al (2018) Experimental investigation of EDM parameters on Al-LM6/SiC/B4C hybrid composites. In applied mechanics and materials. Trans Tech Publ
Medfai A et al (2017) Mathematical modeling of surface roughness in electrical discharge machining process using Taguchi method. In international conference design and modeling of mechanical systems. Springer, Berlin
Muthuramalingam T, Mohan B (2013) Influence of discharge current pulse on machinability in electrical discharge machining. Mater Manuf Process 28(4):375–380
Mandaloi G, Singh S, Kumar P, Pal K (2016) Effect on crystalline structure of AISI M2 steel using tungsten–thorium electrode through MRR, EWR, and surface finish. Measurement 90:74–84
Niamat M, Sarfraz S, Aziz H, Jahanzaib M, Shehab E, Ahmad W, Hussain S (2017) Effect of different dielectrics on material removal rate, electrode wear rate and microstructures in EDM. Procedia CIRP 60:2–7
Leão FN, Pashby IR (2004) A review on the use of environmentally-friendly dielectric fluids in electrical discharge machining. J Mater Process Technol 149(1):341–346
Zhang Y, Liu Y, Ji R, Cai B (2011) Study of the recast layer of a surface machined by sinking electrical discharge machining using water-in-oil emulsion as dielectric. Appl Surf Sci 257(14):5989–5997
Wang F, Liu Y, Zhang Y, Tang Z, Ji R, Zheng C (2014) Compound machining of titanium alloy by super high speed EDM milling and arc machining. J Mater Process Technol 214(3):531–538
Garg RK, Singh KK, Sachdeva A, Sharma VS, Ojha K, Singh S (2010) Review of research work in sinking EDM and WEDM on metal matrix composite materials. Int J Adv Manuf Technol 50(5):611–624
Mohan B, Rajadurai A, Satyanarayana KG (2002) Effect of SiC and rotation of electrode on electric discharge machining of Al–SiC composite. J Mater Process Technol 124(3):297–304
Kansal HK, Singh S, Kumar P (2007) Effect of silicon powder mixed EDM on machining rate of AISI D2 die steel. J Manuf Process 9(1):13–22
Pradhan MK, Biswas CK (2010) Neuro-fuzzy and neural network-based prediction of various responses in electrical discharge machining of AISI D2 steel. Int J Adv Manuf Technol 50(5):591–610
Das D, Dutta A, Ray K (2009) Optimization of the duration of cryogenic processing to maximize wear resistance of AISI D2 steel. Cryogenics 49(5):176–184
Muthuramalingam T, Mohan B (2015) A review on influence of electrical process parameters in EDM process. Arch Civil Mech Eng 15(1):87–94
Mohan B, Rajadurai A, Satyanarayana K (2004) Electric discharge machining of Al–SiC metal matrix composites using rotary tube electrode. J Mater Process Technol 153:978–985
Ojha K, Garg R, Singh K (2010) MRR improvement in sinking electrical discharge machining: a review. J Miner Mater Charact Eng 9(08):709–739
Myers RH, Montgomery DC, Vining GG, Borror CM, Kowalski SM (2004) Response surface methodology: a retrospective and literature survey. J Qual Technol 36(1):53–77
Lin J, Lin C (2002) The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. Int J Mach Tools Manuf 42(2):237–244
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This work is jointly supported by department of industrial engineering, university of Engineering and Technology Taxila Pakistan and HEC project # 731, Department of Physics, Khushal Khan Khattak University, Karak Pakistan.
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Hanif, M., Ahmad, W., Hussain, S. et al. Investigating the effects of electric discharge machining parameters on material removal rate and surface roughness on AISI D2 steel using RSM-GRA integrated approach. Int J Adv Manuf Technol 101, 1255–1265 (2019). https://doi.org/10.1007/s00170-018-3019-1
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DOI: https://doi.org/10.1007/s00170-018-3019-1