Abstract
This paper determines the optimum process parameters of the non-conventional electrical discharge machining. The performance of the EDM machine depends upon the process parameter used. In this analysis, weight percentage, pulse current (Ip), discharge voltage (V), and pulse duration (Ton) are used as process parameters. The optimized output parameters are MRR, TWR, surface roughness, and radial overcut. By using face-centered composite design, nine trials were conducted on the workpiece which is made up of Al7075/SiC/WS2 hybrid composite. The trial results obtained were used in decision-making method correlation coefficient and standard deviation (CCSD) integrated approach. These results give useful information on how to control the machining parameters and accuracy of the components produced from EDM. Decision-making method used is simple, and results obtained are confirmed by conducting confirmation experiments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Roy, C., Syed, K.H., Kuppan, P.: Machinability of Al/10% SiC/2.5% TiB2 metal matrix composite with powder-mixed electrical discharge machning. Procedia Technol. 25, 1056–1063 (2016)
Pradhan, M.K., Biswas, C.K.: Neuro-fuzzy and neural network-based prediction of various responses in electrical discharge machining of AISI D2 steel. Int. J. Adv. Manuf. Technol. 50(5–8), 591–610 (2010)
Pradhan, M.K., Biswas, C.K.: Investigating the effect of machining parameters on EDMed components a RSM approach. J. Mech. Eng. 7(1), 47–64 (2010)
Mandal, D., Pal, S.K., Saha, P.: Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II. J. Mater. Process. Technol. 186(1–3), 154–162 (2007)
Dvivedi, A., Kumar, P., Singh, I.: Experimental investigation and optimization in EDM of al 6063 SiCp metal matrix composite. Int. J. Mach. Mach. Mater. 3(3–4), 293–308 (2008)
Kanagarajan, D., Karthikeyan, R., Palani kumar, K., Sivaraj, P.: Influence of process parameters on electric-discharge machining of WC/30%Co composites. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 222(7), 807–815 (2008)
Jaharah, A.G., Liang, C.G., Wahid, S.Z., Ab, R.M., Che, H.C.: Performance of copper electrode in electrical discharge machining (EDM) of AISI H13 harden steel. Int. J. Mech. Mater. Eng. 3(1), 25–29 (2008)
Dhar, S., Purohit, R., Saini, N., Sharma, A., Kumar, G.H.: Mathematical modeling of electric discharge machining of cast Al–4Cu–6Si alloy–10 wt.% SiCP composites. J. Mater. Process. Technol. 194(1–3), 24–29 (2007)
Purohit, R., Krishna, C.M., Rana, R.S., Kumar, V., Patel, K.K.: Optimization of electric discharge machining parameters for Al–3 weight% nano SiCp composites using copper electrode. Trends Ind. Mech. Eng. 105 (2016)
Wang, Y.M., Luo, Y.: Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Math. Comput. Model. 51(1–2), 1–2 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Patel, R.K., Pradhan, M.K. (2019). Process Parameters Optimization of Electrical Discharge Machining of Al7075/SiC/WS2 by Using MCDM. In: Narayanan, R., Joshi, S., Dixit, U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3_28
Download citation
DOI: https://doi.org/10.1007/978-981-32-9072-3_28
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9071-6
Online ISBN: 978-981-32-9072-3
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)