Abstract
Stainless steel exposes high intensity of rigidity and strength. Electrical discharge machine (EDM) has the ability to machine such materials. Optimization of machining parameters is absolutely crucial for effective results of machining. The present work addresses the influence of process parameters, such as current (Ip), pulse duration (Ton), and voltage (V) on recital quantity material removal rate (MRR) on sinker electrical discharge machining of steel s-32670. Taguchi design approach has been used for planning the experiment and to establish the optimal setting level of controllable factors using signal-to-noise (S/N) ratio, and the significant contribution of these factors on output responses is analyzed with the assistance of analysis of variance (ANOVA). Minitab18 software is used to analyze the experimental design with 16 treatment condition of controllable parameters arrangement called L16 orthogonal array. Recital quantity MRR is calculated and amended for different set of experiments. The result of the present work reveals the optimal level of input factors for maximum MRR, while factors such as current and pulse duration play the most considerable role in EDM machining process. The findings from this study will be valuable for engineers to opt for optimal level of EDM machining factors to appliance s-32670 steel, which curtail the losses for the period of machining and directly elevate outlay and time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Joshi, S.N., Pande, S.S.: Thermo-physical modeling of die-sinking EDM process. J. Manuf. Process. 12, 45–56 (2010)
Chandramouli, S., Eswaraiah, K., Optimization of EDM process parameters in machining of 17-4 PH steel using Taguchi method. Mater. Today: Proc. Part A 4(2), 2040–2047 (2017)
Chandramouli, S., Eswaraiah, K., Experimental investigation of EDM process parameters in machining of 17-4 PH steel using Taguchi method. Mater. Today: Proc. 5, 5058–5067 (2018)
Vikram Reddy, V., Vamshi Krishna, P., Shiva Kumar, B., Shashidhar, M.: Optimization of process parameters during EDM of stainless steel 304 using Taguchi method. Int. J. Eng. Trends Technol. 31, 106–114 (2016)
Priyadarshini, M., Pal, K.: Grey-Taguchi based optimization of EDM process for titanium alloy. Mater. Today: Proc. 2, 2472–2481 (2015)
Sudhakara, D., Prasanthi, G.: Application of Taguchi method for determining optimum surface roughness in wire electric discharge machining of P/M cold worked tool steel (Vanadis-4E). Procedia Eng. 97, 1565–1576 (2014)
Jeykrishnan, J., VijayaRamnath, B., Akilesh, S., Pradeep Kumar, R.P.: Optimization of process parameters on EN24 tool steel using taguchi technique in electro discharge machining. Mater. Sci. Eng. 149, 12–22 (2016)
Gaikwad, V., Jatti, V.S.: Optimization of material removal rate during electrical discharge machining of cryo treated NiTi alloy using Taguchi method. J. King Saud Univ. – Eng. Sci. 30(3), 266–272 (2018)
NikelJe, A.M., Kumar, A., SaiSrinadh, K.V.: Influence of parameters and optimization of EDM performance measures on MDN 300 steel using Taguchi method. Int. J. Adv. Manuf. Technol. 69(1–4), 41–49 (2013)
Mishra, B.P., Routara, B.C.: An experimental investigation and optimization of performance characterstics in EDM of EN.24 alloy steel using Taguchi method and grey relational analysis. Mater. Today Proc. 4(8), 7434–7447 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Joshi, R., Singh, S., Prakash, C. (2020). Experimental Investigation and Optimization of EDM Process Parameters in Machining of Stainless Steel s-32760 Using Taguchi Method. In: Singh, I., Bajpai, P., Panwar, K. (eds) Trends in Manufacturing Processes. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9099-0_8
Download citation
DOI: https://doi.org/10.1007/978-981-32-9099-0_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9098-3
Online ISBN: 978-981-32-9099-0
eBook Packages: EngineeringEngineering (R0)