Combined quality loss (CQL) concept in WPCA-based Taguchi philosophy for optimization of multiple surface quality characteristics of UNS C34000 brass in cylindrical grinding

The present study highlights a multi-objective optimization problem by applying Weighted Principal Component Analysis (WPCA) coupled with Taguchi method through a case study in cylindrical grinding of UNS C34000 Medium Leaded Brass. The study aimed at evaluating the best process environment which could simultaneously satisfy multiple requirements of surface quality. In view of the fact that traditional Taguchi method fails to solve a multi-objective optimization problem, to overcome this limitation, WPCA has been coupled with Taguchi method. Furthermore, to follow the basic assumption of Taguchi method, i.e., quality attributes should be uncorrelated or independent; which is not always satisfied in practical situation; the study applied WPCA to eliminate response correlation and to evaluate independent or uncorrelated quality indices called principal components which were aggregated by WPCA to compute overall quality index denoted as Multi-Response Performance Index. A combined quality loss was then estimated which was optimized (minimized) finally. The study combined WPCA and Taguchi method for predicting optimal setting. Optimal result was verified through confirmatory test. This indicates application feasibility of the aforesaid methodology proposed for multi-response optimization and off-line control of correlated multiple surface quality characteristics in cylindrical grinding.

[1]  O. Ohnishi,et al.  An investigation into parallel and cross grinding of BK7 glass , 2006 .

[2]  F. Unsacar,et al.  An experimental investigation as to the effect of cutting parameters on roundness error and surface roughness in cylindrical grinding , 2005 .

[3]  John Stufken,et al.  Taguchi Methods: A Hands-On Approach , 1992 .

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

[5]  Yin-Tien Wang,et al.  Grinding force control in an automatic surface finishing system , 2005 .

[6]  R. S. Walia,et al.  Multi-Response Optimization of CFAAFM Process Through Taguchi Method and Utility Concept , 2006 .

[7]  Saurav Datta,et al.  Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding , 2008 .

[8]  Niranjan A. Subrahmanya,et al.  Generalized practical models of cylindrical plunge grinding processes , 2008 .

[9]  Makarand S. Kulkarni,et al.  Combined Taguchi and dual response method for optimization of a centerless grinding operation , 2003 .

[10]  Zhaowei Zhong,et al.  Surface roughness characterization of thermally sprayed and precision machined WC-Co and Alloy-625 coatings , 2007 .

[11]  Ful-Chiang Wu,et al.  Optimization of Correlated Multiple Quality Characteristics Using Desirability Function , 2004 .

[12]  Saurav Datta,et al.  Application of PCA-based hybrid Taguchi method for correlated multicriteria optimization of submerged arc weld: a case study , 2009 .

[13]  S. Liang,et al.  Predictive modeling of surface roughness in grinding , 2003 .

[14]  Saurav Datta,et al.  Desirability Function Approach for Solving Multi-Objective Optimization Problem in Submerged Arc Welding , 2006 .

[15]  Ming-Shyan Huang,et al.  Simulation of a regression-model and PCA based searching method developed for setting the robust injection molding parameters of multi-quality characteristics , 2008 .

[17]  Jae-Seob Kwak,et al.  An analysis of grinding power and surface roughness in external cylindrical grinding of hardened SCM440 steel using the response surface method , 2006 .

[18]  V. Radhakrishnan,et al.  Analysis of process parameters in surface grinding with graphite as lubricant based on the Taguchi method , 2003 .

[19]  Jae-Seob Kwak,et al.  Application of Taguchi and response surface methodologies for geometric error in surface grinding process , 2005 .

[20]  Jiju Antony,et al.  Teaching the Taguchi method to industrial engineers , 2001 .

[21]  Pradeep Kumar,et al.  Quality optimization (multi-characteristics) through Taguchi's technique and utility concept , 2000 .