Optimizing multi‐machining characteristics through Taguchi's approach and utility concept

Purpose – Taguchi's technique is best suited to optimize a single performance characteristic yielding an optimal setting of process parameters. A single setting of process parameters may be optimal for one quality characteristics but the same setting may yield detrimental results for other quality features. Thus the purpose of this paper is to describe simultaneous optimization of multi‐characteristics.Design/methodology/approach – The multi‐machining characteristics have been optimized simultaneously using Taguchi's parameter design approach and the utility concept. The paper used a single performance index, utility value, as a combined response indicator of several responses.Findings – A simplified model based on Taguchi's approach and utility concept is used to determine the optimal settings of the process parameters for a multi‐characteristic product. The model is used to predict optimal settings of turning process parameters to yield the optimum quality characteristics of En24 steel turned parts usin...

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

[2]  Elsayed A. Elsayed,et al.  Optimal levels of process parameters for products with multiple characteristics , 1993 .

[3]  Derek W. Bunn,et al.  Analysis for optimal decisions , 1982 .

[4]  P.B.S. Reddy,et al.  Unification of robust design and goal programming for multiresponse optimization : A case study , 1997 .

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

[6]  Christopher Harvie,et al.  The Mechanical Age , 1970 .

[7]  Jiju Antony,et al.  Simultaneous Optimisation of Multiple Quality Characteristics in Manufacturing Processes Using Taguchi's Quality Loss Function , 2001 .

[8]  K. Taraman,et al.  Multi machining output—multi independent variable turning research by response surface methodology , 1974 .

[9]  Chao-Ton Su,et al.  The optimization of multi‐response problems in the Taguchi method , 1997 .

[10]  Hung-Chang Liao,et al.  Using PCR-TOPSIS to optimise Taguchi's multi-response problem , 2003 .

[11]  Y. S. Tarng,et al.  The Use of Fuzzy Logic in the Taguchi Method for the Optimisation of the Submerged Arc Welding Process , 2000 .

[12]  Jiju Antony,et al.  Optimization of multiple responses using a fuzzy-rule based inference system , 2002 .

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

[14]  British Iron,et al.  The mechanical and physical properties of the British Standard En steels (B.S. 970-1955) , 1964 .

[15]  Kwok-Leung Tsui.  Robust design optimization for multiple characteristic problems , 1999 .

[16]  Hari Singh,et al.  Tool wear optimization in turning operation by Taguchi method , 2004 .