PARAMETRIC OPTIMIZATION OF PLASMA ARC CUTTING PROCESS PARAMETER FOR INCONEL718 ALLOY MATERIAL USING GREY RELATIONAL ANALYSIS

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Panchani Tejas
Vikram Patel
Priyank Patel

Abstract

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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How to Cite
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, https://tijer.org/index.php/tijer/article/view/112.
Section
Research Articles

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