Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis

Abstract This study investigated the optimization of CNC turning operation parameters for SKD11 (JIS) using the Grey relational analysis method. Nine experimental runs based on an orthogonal array of Taguchi method were performed. The surface properties of roughness average and roughness maximum as well as the roundness were selected as the quality targets. An optimal parameter combination of the turning operation was obtained via Grey relational analysis. By analyzing the Grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found. The depth of cut was identified to be the most influence on the roughness average and the cutting speed is the most influential factor to the roughness maximum and the roundness. Additionally, the analysis of variance (ANOVA) is also applied to identify the most significant factor; the depth of cut is the most significant controlled factors for the turning operations according to the weighted sum grade of the roughness average, roughness maximum and roundness.

[1]  Muammer Nalbant,et al.  Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning , 2007 .

[2]  M. A. El Baradie,et al.  Cutting fluids: Part I. Characterisation , 1996 .

[3]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[4]  Chen-Wuing Liu,et al.  Application of grey correlation method to evaluate potential groundwater recharge sites , 2006 .

[5]  J. Davim.  Design of optimisation of cutting parameters for turning metal matrix composites based on the orthogonal arrays , 2003 .

[6]  L. J. Yang.  The effect of specimen thickness on the hardness of plasma surface hardened ASSAB 760 steel specimens , 2007 .

[7]  Dyi-Cheng Chen,et al.  Use of Taguchi method to study a robust design for the sectioned beams curvature during rolling , 2007 .

[8]  Cheng-Hung Huang,et al.  Optimization of Dry Machining Parameters for High-Purity Graphite in End-Milling Process , 2006 .

[9]  Cheng-Hung Huang,et al.  The Study on the Optimization of Injection Molding Process Parameters with Gray Relational Analysis , 2003 .

[10]  C. L. Lin,et al.  Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics , 2004 .

[11]  Mei-Li You,et al.  The Development of Completed Grey Relational Analysis Toolbox via Matlab , 2006 .

[12]  Burak Birgören,et al.  Design optimization of cutting parameters when turning hardened AISI 4140 steel (63 HRC) with Al2O3 + TiCN mixed ceramic tool , 2007 .

[13]  C. Fung,et al.  Multi-response optimization in friction properties of PBT composites using Taguchi method and principle component analysis , 2005 .

[14]  Y. Shen,et al.  Optimization of the Micro-Injection Molding Process using Grey Relational Analysis and MoldFlow Analysis , 2004 .

[15]  Julie Z. Zhang,et al.  Surface roughness optimization in an end-milling operation using the Taguchi design method , 2007 .

[16]  Y. S. Tarng,et al.  Design optimization of cutting parameters for turning operations based on the Taguchi method , 1998 .

[17]  K. Chiang,et al.  Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis , 2006 .

[18]  Alakesh Manna,et al.  Investigation for optimal parametric combination for achieving better surface finish during turning of Al/SiC-MMC , 2004 .

[19]  V. P. Arunachalam,et al.  Optimization of squeeze cast parameters of LM6 aluminium alloy for surface roughness using Taguchi method , 2006 .

[20]  N. Ismail,et al.  The use of Taguchi method in the design of plastic injection mould for reducing warpage , 2007 .