Experimental Analysis and Optimization of Process Parameters in Plasma Arc Cutting Machine of EN-45A Material Using Taguchi and ANOVA Method

Authors: Sahil Sharma, Mukesh Gupta, Raj Kumar, N. S Bindra

Abstract:

This paper presents an experimental investigation on the optimization and the effect of the cutting parameters on Material Removal Rate (MRR) in Plasma Arc Cutting (PAC) of EN-45A Material using Taguchi L ₁₆ orthogonal array method. Four process variables viz. cutting speed, current, stand-off-distance and plasma gas pressure have been considered for this experimental work. Analysis of variance (ANOVA) has been performed to get the percentage contribution of each process parameter for the response variable i.e. MRR. Based on ANOVA, it has been observed that the cutting speed, current and the plasma gas pressure are the major influencing factors that affect the response variable. Confirmation test based on optimal setting shows the better agreement with the predicted values.

Keywords: Analysis of variance, Material removal rate, plasma arc cutting, Taguchi method.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132581

References:

[1] Bidajwala R. C., Trivedi M. A., Rao T. S., Gajera H. M., “Parametric optimization on Plasma arc cutting machine for AISI 1018”, International Journal of Advance Engineering and Research Development, 2348-4470, 2015.
[2] http://www.bocgas.co.nz/facts about plasma technology, 20/10/2016
[3] Dubbel (1994) “Handbook of mechanical engineering”, springer verlang London limited, Inc;17-18, 1994.
[4] ChamarthiS., Reddy N. S., Elipey M. K., Reddy D.V. R., “Investigation Analysis of Plasma arc cutting Parameters on the Unevenness surface of Hardox-400 material”, International Conference on design and manufacturing, 854 – 861,2013.
[5] Bhuvenesh R., Norizaman M.H., Manan M.S. A., “Surface Roughness and MRR Effect on Manual Plasma Arc Cutting Machining”, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Volume 6, No:2, 2012.
[6] Das M. K., Kumar K., Barman T. K., Sahoo P., “Optimization of process parameters in Plasma arc cutting of EN 31 steel based on MRR and Multiple roughness characteristics using Grey Relational analysis”, International Conference on Advances in Manufacturing Engineering (AMME), 1550-1559, 2014.
[7] http://mechanical.srpec.org.in/files/Project/2013/17.pdf, 22/10/2016
[8] Prajapati K. N., Sathavara H.R., Soni D.K., “A review on plasma arc cutting”, International Journal of Advance Research in Engineering, Science & Technology (IJAREST), Volume 2, Issue 6, 2015.
[9] Singh G. and Akhai S., “Experimental study and Optimization of MRR in CNC Plasma arc cutting”, International Journal of Engineering Research and Applications, Volume 5, Issue 6, pp. 96-99, 2015.
[10] Das M. K., Kumar K., Barman T. K., Sahoo P., “Optimization of MRR and surface roughness in PAC of EN 31 steel using weighted principle component analysis”, 2nd International Conference on Innovation in Automation and Mechatronics Engineering (ICIAME 2014), 211-218, 2014.
[11] Teja S. S., Karthik G., Sampath S., Shaj M., “Experimental Investigations to Study the Impact of Machining Parameters on Mild Steel Using Plasma Arc Cutting”, International Journal of Engineering Research and Applications, Volume 5, Issue, ISSN: 2248-9622, 2015.
[12] Maity K. P., Bagal D. K.., “Effect of process parameters on cut quality of stainless steel of plasma arc cutting using hybrid approach”, International Journal of Advance Manufacturing Technology, 161-175, 2014.
[13] Thilak. M, Cyril G., Boopalan N., Gogul. N, Ganesh B. A.R., “Optimization of Machining Process Parameters in Plasma Arc Machining”, International Journal of Innovative Research in Science, Engineering and Technology, Volume 5, Special Issue 8, ISSN(Online) : 2319-875, 2016.
[14] Salonitis K. and Vatousianos S., “Experimental Investigation of the sssPlasma Arc Cutting Process”, 45th CIRP Conference on Manufacturing Systems 2012, 287-292, 2012.
[15] Jeffus Larry, “Welding Principles and Applications: Sixth Edition:”, Inc; p. 182-203, 2003.