Application of Grey Relational Analysis Along with Principal Component Analysis for Multi-Response Optimization of Hard Turning

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2016 by IJETT Journal
Volume-38 Number-5
Year of Publication : 2016
Authors : Suha K. Shihab, Zahid A. Khan, Arshad Noor Siddiquee
DOI :  10.14445/22315381/IJETT-V38P243


Suha K. Shihab, Zahid A. Khan, Arshad Noor Siddiquee"Application of Grey Relational Analysis Along with Principal Component Analysis for Multi-Response Optimization of Hard Turning", International Journal of Engineering Trends and Technology (IJETT), V38(5),238-245 August 2016. ISSN:2231-5381. published by seventh sense research group

Investigation on the effect of cutting speed, feed rate, depth of cut and different cutting conditions on the machining force components and surface roughness during hard turning of AISI 52100 has been presented in this paper. Nine turning experiments as per Taguchi’s standard L9 orthogonal array were performed on AISI 52100 hard alloy steel using a CNC lathe machine and cutting force component as well as surface roughness were measured. Subsequently, multi-response optimization was performed by employing grey relational and principal component analyses. The results revealed that grey relational analysis along with the principal component analysis is a simple as well as effective method for solving the multi-response optimization problem and it provides the optimal combination of hard turning parameters. Further, the analysis of variance (ANOVA) was also employed to identify the most significant parameter based on percentage of contribution of each machining parameter.


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Hard turning, Optimization, Taguchi method, Grey relational analysis, Principal component analysis.