Abstract
The mechanical efficiency of two mating surfaces is significantly affected by the values of their surface roughness, which is also related to increased friction and their tribological performance. In this paper, during generation of holes on D3 tool steel material, the machining capability of an electrical discharge machining (EDM) process is investigated, while considering pulse-on time, pulse-off time and peak current as the controllable parameters. Various surface roughness characteristics, like Rt, Ra, Rq, Rsk, Rz, Rku, Rk, Mr1 and Mr2 are contemplated here as the process outputs because achievement of better tribological properties with low wear significantly depends on those responses. During the experimental trials, pulse-on time is varied from 90 to 250 μs, whereas, the values of pulse-off time and peak current are altered from 45 to 150 μs and 14 to 22 A respectively. Multi-objective optimization of the considered EDM process is accomplished using grey relational analysis (GRA) technique. Confirmation experiment is also carried out to confirm the betterness of the optimal parametric intermix for the said EDM process. It is observed that almost all the surface roughness properties of the EDMed components are mainly influenced by pulse-on time, followed by peak current.
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References
Benardos, P.G., Vosniakos, G.C.: Predicting surface roughness in machining: a review. Int. J. Mach. Tools Manuf. 43(8), 833–844 (2003)
De Chiffre, L., Lonardo, P., Trumpold, H., Lucca, D.A., Gosh, G., Brown, C.A., Raja, J., Hansen, H.N.: Quantitative characterization of surface texture. CIRP Ann. 49(2), 635–652 (2000)
Deleanu, L., Georgescu, C., Suciu, C.: A comparison between 2D And 3D surface parameters for evaluating the quality of surfaces. Ann. “Dunarea De Jos” Univ. Galati 5, 5–12 (2012)
Deng, J.L.: Introduction to grey system theory. J. Grey Syst. 1(1), 1–24 (1989)
Faisal, N., Kumar, K.: Optimization of machine process parameters in EDM for EN 31 using evolutionary optimization techniques. Technologies 6(2), 1–16 (2018)
Gohil, V., Puri, Y.M.: Multi-objective optimization of material removal rate and surface roughness in electrical discharge turning of titanium alloy (Ti-6Al-V). Indian J. Eng. Mater. Sci. 24(6), 429–436 (2017)
Kumar, K.M., Hariharan, P.: Experimental determination of machining responses in machining austempered ductile iron (ADI). Procedia Eng. 64, 1495–1504 (2013)
Kumar, S.V., Kumar, M.P.: Optimization of cryogenic cooled EDM process parameters using grey relational analysis. J. Mech. Sci. Technol. 28(9), 3777–3784 (2014)
Laxman, J., Guru Raj, K.: Optimization of EDM process parameters on titanium super alloys based on the grey relational analysis. Int. J. Eng. Res. 3(5), 344–348 (2014)
Lee, S.H., Li, X.P.: Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of tungsten carbide. J. Mater. Process. Technol. 115(3), 344–358 (2001)
Mazarbhuiya, R.M., Choudhury, P.K., Rahang, M.: Taguchi-grey relational based multi-objective optimization of process parameters in electric discharge machining of aluminium with copper electrode. J. Basic Appl. Eng. Res. 3(13), 1169–1171 (2016)
Özdemir, N., Özek, C.: An investigation on machinability of nodular cast iron by WEDM. Int. J. Adv. Manuf. Technol. 28(9–10), 869–872 (2006)
Petropoulos, G.P., Pandazaras, C.N., Davim, J.P.: Surface texture characterization and evaluation related to machining. In: Surface Integrity in Machining, pp. 37–66. Springer, London (2010)
Ramasawmy, H., Blunt, L.: 3D surface topology assessment of the effect of different electrolytes during electrochemical polishing of EDM surfaces. Int. J. Mach. Tools Manuf. 42, 567–574 (2002)
Sedlaček, M., Podgornik, B., Vižintin, J.: Influence of surface preparation on roughness parameters, friction and wear. Wear 266, 482–487 (2009)
Smith, S.: Machining, Polishing & Grinding : Precision Metalsmiths Handbook, pp. 1–95. Industrial Press, USA (2015)
Tharian, B.K., Jacob, E., Johnson, J., Hari, V.: Multi-objective parametric optimization in EDM using grey relational analysis. Mater. Today Proc. 16(2), 1013–1019 (2019)
Tomadi, S.H., Hassan, M.A., Hamedon, Z., Daud, R., Khalid, A.G.: Analysis of the influence of EDM parameters on surface quality, material removal rate and electrode wear of tungsten carbide. In: Proceedings of International Multiconference of Engineers and Computer Scientists, Hong Kong, vol. 2, pp. 18–20 (2009)
Tripathy, S., Tripathy, D.K.: Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis. Eng. Sci. Technol. Int. J. 19(1), 62–70 (2016)
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Kumar, V., Chakraborty, S. (2022). Analysis of the Surface Roughness Characteristics of EDMed Components Using GRA Method. In: Pratap Singh, R., Tyagi, D.M., Panchal, D., Davim, J.P. (eds) Proceedings of the International Conference on Industrial and Manufacturing Systems (CIMS-2020). Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-73495-4_32
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