Optimization of MRR and Surface Roughness in PAC of EN 31 Steel Using Weighted Principal Component Analysis

Abstract In this paper, an attempt has been made to optimize the process parameters for multi-responses (material removal rate, MRR and surface roughness) in plasma arc cutting (PAC) of EN 31 steel using weighted principal component analysis (WPCA). For surface roughness characteristics, five different surface roughness parameters (centre line average roughness: R a , root mean square: R q , skewness: R sk , kurtosis: R ku and mean line peak spacing: R sm ) are considered. Three process parameters viz. gas pressure, arc current and torch height are considered. The experimental plan is based on Taguchi L 27 orthogonal array (OA). To convert the multi-responses problem to a single response optimization problem, WPCA is applied to compute a multi-response performance index (MPI) and then MPI has been optimized using Taguchi method. The optimum combination of process parameters has been found for maximum MRR and minimum surface roughness and verified through a confirmation test. Also, ANOVA is carried out and it is seen that the gas pressure is the most significant factor followed by arc current.

[1]  Prasanta Sahoo,et al.  Optimization of Surface Roughness and MRR in EDM Using WPCA , 2013 .

[2]  Thermal plasma cutting. Part I: Modified mathematical model , 2007 .

[3]  Zahari Taha,et al.  Experimental Design and Performance Analysis in Plasma Arc Surface Hardening , 2011 .

[4]  W Lucas,et al.  CUTTING PROCESSES - THE RIGHT CHOICE - PART 1 , 1993 .

[5]  V Balasubramanian,et al.  Application of Response Surface Methodolody to Prediction of Dilution in Plasma Transferred Arc Hardfacing of Stainless Steel on Carbon Steel , 2009 .

[6]  V. Nemchinsky.  Plasma flow in a nozzle during plasma arc cutting , 1998 .

[7]  Abdul Manan Muhamad Saifuldin,et al.  Surface Roughness and MRR Effect on Manual Plasma Arc Cutting Machining , 2012 .

[8]  Lindley R. Higgins,et al.  Maintenance Engineering Handbook , 1967 .

[9]  Miloš Madić,et al.  MODELING THE PLASMA ARC CUTTING PROCESS USING ANN , 2011 .

[10]  Hung-Chang Liao,et al.  Multi-response optimization using weighted principal component , 2006 .

[11]  Konstantinos Salonitis,et al.  Experimental Investigation of the Plasma Arc Cutting Process , 2012 .

[12]  V. Nemchinsky,et al.  What we know and what we do not know about plasma arc cutting , 2006 .

[13]  C. Su,et al.  Multi-response robust design by principal component analysis , 1997 .

[14]  T. R. Bement,et al.  Taguchi techniques for quality engineering , 1995 .

[15]  L. J. Yang.  Plasma surface hardening of ASSAB 760 steel specimens with Taguchi optimisation of the processing parameters , 2001 .

[16]  Genichi Taguchi,et al.  Introduction to quality engineering.... , 2014 .

[18]  Jiju Antony,et al.  Multi‐response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis , 2000 .