An Investigation on Material Removal Rate of EDM Process: A Response Surface Methodology Approach
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
An Investigation on Material Removal Rate of EDM Process: A Response Surface Methodology Approach

Authors: Azhar Equbal, Anoop Kumar Sood, M. Asif Equbal, M. Israr Equbal

Abstract:

In the present work response surface methodology (RSM) based central composite design (CCD) is used for analyzing the electrical discharge machining (EDM) process. For experimentation, mild steel is selected as work piece and copper is used as electrode. Three machining parameters namely current (I), spark on time (Ton) and spark off time (Toff) are selected as the input variables. The output or response chosen is material removal rate (MRR) which is to be maximized. To reduce the number of runs face centered central composite design (FCCCD) was used. ANOVA was used to determine the significance of parameter and interactions. The suitability of model is tested using Anderson darling (AD) plot. The results conclude that different parameters considered i.e. current, pulse on and pulse off time; all have dominant effect on the MRR. At last, the optimized parameter setting for maximizing MRR is found through main effect plot analysis.

Keywords: Electrical discharge machining, electrode, MRR, RSM, ANOVA.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130985

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1118

References:


[1] J. Kozak, and K.P. Rajurkar, “Hybrid machining processes: Evaluation and development,” Proceedings of 2nd International Conference on Machining and measurement of sculptured surfaces, Krakow, 2001, p. 501-536.
[2] H. Ramasawmy, and L. Blunt, “Effect of EDM process parameters on 3D surface topography,” Journal of Materials Processing Technology, vol. 148, pp. 155-164, 2004.
[3] R. Williams, “Machining Hard Materials. Dearborn, MI: Machining Data Handbook” 3rd ed. vol. 2, Society of Manufacturing Engineers: 1980.
[4] K. Ho, and S. Newman, “State of the art electrical discharge machining (EDM),” International Journal of Machine Tools & Manufacture, vol. 43, pp. 1287-1300, 2000.
[5] J. Soni, and G. Chakraverti, “Experimental investigation on migration of material during EDM of T 215 Cr12 die steel,” Journal of Materials Processing Technology, vol. 56, pp. 439-451, 1996.
[6] F. Roethel, L. Kosec, and V. Garbajs, “Contributions to the micro-analysis of spark eroded surfaces,” Annals of the CIRP, vol. 25, no. 1, pp. 135-140, 1976.
[7] A. Erden, “Effect of materials on the mechanism of electric discharge machining (EDM),” Journal of Engineering and Material Technology, vol. 105, pp. 132-138, 1983.
[8] M. Bayramoglu, and A. W. Duffill, “Manufacturing linear and circular contours using CNC EDM and frame type tools,” International Journal of Machine Tools and Manufacture,1995; vol. 35, no. 8, pp. 1125-1136, 1995.
[9] M. Bayramoglu, and A. W. Duffill, “Production of three dimensional shapes using computational electrical discharge machining,” In Proc. Int. M.T.D.R., pp. 107-112, 1992.
[10] K. Saito, T. Kishinami, H. Konno, M. Sato, and H. Takeyama, “Development of numerical contouring control electrical discharge machining (NCC-EDM),” Ann. CIRP, vol. 35, no. 1, pp. 117-120, 1986.
[11] I. Puertas, and C.J. Lusis, “A study on the machining parameters optimization of electrical discharge machining,” Journal of materials processing technology, vol. 143-144, pp. 521-526, 2003.
[12] M. A. Lajis, H.C.D. Mohd Radzi, and A. K. M. Nurul Amin, “The Implementation of Taguchi Method on EDM Process of Tungsten Carbide,” European Journal of Scientific Research, vol. 36, no. 4, pp. 609-617, 2009.
[13] S. H. Tomadi, M. A. Hassan, and Z. Hamedon, “Analysis of the Influence of EDM Parameters on Surface Quality, Material Removal Rate and Electrode Wear of Tungsten Carbide,” International Multi Conference of Engineers and Computer Scientists: 2, 2009.
[14] K. D. Chattopadhyay, S. Verma, P. S. Satsangi, and P. C. Sharma, “Development of empirical model for different process parameters during rotary electrical discharge machining of copper–steel (EN-8) system‖,” Journal of materials processing technology, vol. 20, no. 9, pp. 1454-1465, 2008.
[15] S. Dewangan, and C. K. Biswas, “Experiment Investigation of Machining Parameters for EDM Using U- shaped Electrode of AISI P20 Tool Steel,” International conference on emerging trends in mechanical engineering :1-6, 2011.
[16] T, Rajmohan, R., Prabhu, G., Subba Rao, and K., Palanikumar, “Optimization of Machining Parameters in Electrical Discharge Machining (EDM) of (304) stainless steel,” International Conference on Modeling, Optimization and Computing (ICMOC): 103-1036, 2012.
[17] P. M. George, B. K.Raghunath, L. M. Manocha, and A. M. Warrier, “EDM machining of carbon-carbon composite- a taguchi approach,” Journal of Materials Processing Technology, vol. 145, no. 1, pp. 66-71, 2003.
[18] T. A. El-Taweel, “Multi-response Optimization of EDM with Al-Cu-Si-TiC P/M Composite Electrode,” International Journal of Advance Manufacturing Technology, vol. 44, pp. 100-113, 2009.
[19] M. S. Sohani, V. N. Gaitonde, B. Siddeswarappa, and A. S. Deshpande, “Investigations into the Effect of Tool Shapes with Size Factor consideration in Sink Electrical Discharge Machining (EDM) Process,” International Journal of Advance Manufacturing Technology, vol. 45, pp. 1131-1145, 2009.
[20] V. Muthukumar, N. Rajesh, R. Venkatasamy, A. Sureshbabu, and N. Senthilkumar, “Mathematical Modelling for Radial Overcut on Electrical Discharge Machining of Incoloy 800 by Response Surface Methodology,” Procedia material science, vol. 6, pp. 1674-1682, 2014.
[21] K. M. Patel, P. M. Panday, and P. V. Rao, “Determination of an Optimum Parametric Combination Using a Surface Roughness Prediction Model for EDM of Al2O3/SiCw/TiC Ceramic Composite‖,” Journal of Materials and Manufacturing Processes, vol. 24, pp. 675-682, 2009.
[22] Asif Iqbal, A. K. M., Khan, and Ahsan Ali, “Modeling and Analysis of MRR, EWR and Surface Roughness in EDM Milling through Response Surface Methodology‖,” American Journal of Engineering and Applied Sciences, vol. 3, no. 4, pp. 611-619, 2010.
[23] A. Kumar, V. Kumar, and J. Kumar, “Prediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodology,” International Journal of Engineering & Technology, vol. 2, no. 4, pp. 708-719, 2014.
[24] S. K. Majhi, M.K Pradhan, and Hargovind Soni, “Optimization of EDM parameters using RSM, GRA and Entropy method,” International Journal of Applied Research in Mechanical Engineering, vol. 3, no. 1, pp. 82-87, 2013.
[25] S. V. Subrahmanyam, and M. M M. Sarcar, “Evaluation of Optimal Parameters for machining with Wire cut EDM Using Grey-Taguchi Method,” International Journal of Scientific and Research Publications, vol. 3, no. 3, pp. 1-9, 2013.
[26] Milan Kumar Das, Kaushik Kumar, Tapan Kr. Barman,and Prasanta Sahoo, “Application of Artificial bee Colony Algorithm Optimization of MRR and Surface Roughness in EDM of EN31 tool steel,” Procedia material science, vol. 6, pp. 741-751, 2014.
[27] P. S. Bharti, S. Maheshwari, and C. Sharma, “Mmulti-objective optimization of electric-discharge machining process using controlled elitist NSGA-II. Journal of mechanical science and technology, vol. 26, no. 6, pp. 1875-1883, 2012.
[28] C. Montgomery, “Design and Analysis of Experiments,” Response surface method and designs. John Wiley and Sons, Inc., New Jersey, 2005.
[29] A.N. Armstrong, “Pharmaceutical Experimental Design and Interpretation,” New York. Taylor & Francis group, 2006.
[30] M. Fattouh, M. Elkhabeery, and A.H. Fayed, “Modelling of some response parameters in EDM,” In: AME Fourth Conference Military Technical College, Cairo, Egypt.1990.