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Panchani Tejas
Vikram Patel
Priyank Patel


Now a day with the increase in competition in market and to achieve high accuracy the nonconventional machining like PAC is become life line of any industry. Plasma arc cutting (PAC) is a widely used process for the cutting of different types of metals in several operating conditions. PAC is considered challenging technology compared to its main competitors: oxy-fuel and laser cutting. Today, because of advances in equipment design and improvement in cut quality, previously unheard of applications, such as multiple torch cutting of mild steel, are becoming common place. The aim of the work is the optimization of PAC of INCONAL 718 plates, this experimental analysis of the influence of Current, Cutting Speed and Arc Gap on the maximum MRR in cutting specimens made of INCONAL 718 Material. The Response Process Parameters are measure in Plasma Machining Operations Such as MRR, HAZ and Surface Roughness have been considered for Each Experiment. Experimentation was planned as per Taguchi’s L9 Orthogonal array. We have been using techniques Such as, analytical hierarchy process (AHP), multi-objective optimization on the basis of ratio analysis (MOORA), and Grey Relational Analysis (GRA) for Optimal Process Parameters of Plasma Cutting machine. The weight for each criterion (response) is obtained by Analytical Hierarchy Process using judgments of the decision maker. All method is applied to ranking of the process parameters of Plasma Machine.


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Panchani Tejas, Vikram Patel, and Priyank Patel. “PARAMETRIC OPTIMIZATION OF PLASMA ARC CUTTING PROCESS PARAMETER FOR INCONEL718 ALLOY MATERIAL USING GREY RELATIONAL ANALYSIS”. Technix International Journal for Engineering Research, vol. 2, no. 3, Mar. 2015, pp. 120-7,
Research Articles


M.K. Das, K. Kumar, T.K. Barman, P. Sahoo, “Optimization of Plasma Arc Cutting of EN 31 Steel Based on MRR and Multiple Roughness characteristics usingGrey Relation Analysis”, Procedia Materials Science, Vol.5, pp.1550 – 1559 (2014).

E. Gariboldi, B. Previtali, “High tolerance plasma arc cutting of commercially pure titanium”, Journal of Materials Processing Technology, Vol.160, pp.77-89 (2005).

R. Bini, B.M. Colosimo, A.E. Kutlu, M. Monno, “Experimental study of the features of the kerf generated by a 200 A high tolerance plasma arc cutting system”, journal of materials processing technology, Vol.196, pp.345-355 (2008).

A. Iosub, G. Nagit, F. Negoescu, “Plasma cutting of composite materials” International Journal Material Form Supply, Vol.1, pp. 1347–1350 (2008).

V. Colombo, A. Concetti, E. Ghedini, F. Rotundo, P. Sanibondi, “Advances in plasma arc cutting technology the experimental part of an integrated approach”, plasma chemistry and plasma processing, vol.32, pp. 411-426 (2011).

S. Ilii, M. Coteata, A. Munteanu, “Experimental results concerning the variation of surface roughness parameter (Ra) at plasma arc cutting of a stainless steel work piece”, international journal of modern manufacturing technologies, ISSN 2067–3604, Vol.2, pp. 31-36 (2010).

B. Asiabanpour, D.T. Vejandla D, C. Novoa, J. Jimenez, R. Fischer, “Optimizing the quality of parts manufactured by the automated plasma cutting process using response surface methodology”, pp. 47-60 (2009).

V. P. Darji, R. V. Rao, (2014), “Intelligent Multi Criteria Decision Making Methods for Material Selection in Sugar Industry”, Procedia Materials Science Vol.5 (2014), pp. 2585 – 2594.

R. VENKATA RAO, (2006), “Evaluating Flexible Manufacturing Systems using a Combined Multiple Attribute Decision Making Method”, International Journal of Production Research, Vol. 46, No. 7, 1 April 2008, pp.1975–1989.

Shankar Chakraborty, (2011), “Applications of the MOORA method for Decision Making in Manufacturing Environment”, International Journal Advance Manufacturing Technology (2011), Vol.54, pp.1155–1166.

Bogdan Allemann I, Goldberg DJ (eds): Basics in Dermatological Laser Applications. Curr Probl Dermatol. Basel, Karger, 2011, Vol 42, pp 7–23.

Dr J. Powell, Dr A. Kaplan, (2004) “Laser Cutting: From First Principles to the State of the Art”Proceedings of the 1st Pacific International Conference on Application of Lasers and Optics 2004.

“MINITAB User manual”, Version 16, MINITAB corp.

“Mitutoyo surface roughness tester SJ-201 user?s manual”, mitutoyo instruments ltd, Japan 2007.

Rao,R. V.Decisionmaking in themanufacturingenvironment: using graph theory Andfuzzy multipleattributedecision making methods,London, Springer-Verlag. ISBN:978-1-84628-818-0,2007.

Saaty, T.L. The Analytic Hierarchy Process, Mc graw Hill, New York, 1981.

Saaty, T.L. Fundamental of decision making and priority theory with the AHP,RWSPublication Pittsburg, 2000.

Prasenjit Chatterjee,Shankar Chakraborty, (2014),“Flexible Manufacturing System Selection using Preference Ranking Methods: A Comparative Study”, International Journal of Industrial Engineering Computations, Vol. 5, (2014). 19.“Modern Machining Processes” by P.C. Pandey, H.S. Shan, Tata Mcgraw- Hill publishing Company Limited, 35th reprint 2009, pp. 143-148.