期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：4
页码：4722
DOI：10.15680/IJIRSET.2016.0504016
出版社：S&S Publications
摘要：Taguchi method is widely used for optimization of various process parameters. Using Taguchi method,the parametric settings can be optimized with respect to one performance characteristic (Quality) at a time, whereas inCNC process, parameters require optimization of multiple performance characteristics. In this case study, researchershave attempted several approaches but determination of the optimal process settings that can optimize multipleperformance measures (responses) for boring operations still remains an important issue. In this paper, hybrid Taguchimethod comprising of principal component analysis as well asGrey relation are used to optimize the multiple responsesof CNC processes. To meet the basic assumption of Taguchi method in the present work individual responsecorrelation has been eliminated first by means of Principal components analysis. Correlated responses have beentransformed into uncorrelated quality indices called as principal components. From the principal components thequality loss estimates have been calculated and the Grey relational values are found out for the quality loss estimates.Then the overall grey relational grade has been calculated. Finally Taguchi method has been used to solve theoptimization problem. The results show that the PCA method offers significantly better overall quality than the otherapproaches.
