Title of article :
Multiple characteristics optimization in machining of GFRP composites using Grey relational analysis
Author/Authors :
Parida، Arun Kumar نويسنده School of Mechanical Engineering, KIIT, Bhubaneswar, Odisha, India , , Bhuyan ، Rajesh Kumar نويسنده School of Mechanical Engineering, KIIT, Bhubaneswar, Odisha, India , , Routara، Bharat Chandra نويسنده School of Mechanical Engineering, KIIT, Bhubaneswar, Odisha, India ,
Issue Information :
دوفصلنامه با شماره پیاپی 19 سال 2014
Pages :
10
From page :
511
To page :
520
Abstract :
In the present work, a multi-response optimization method is used to optimize the machining parameters in turning of glass fiber reinforced polymer (GFRP) composites. Parameters like spindle speed (N), feed rate (f) and depth of cut (d) are taken to obtain the responses such as surface roughness (Ra) and material removal rate (MRR). Taguchi’s L9 orthogonal array has been used for machining the work-piece. Analysis of variance (ANOVA) has been carried out to check the significant process parameter in a single objective performance characteristic. The multiple performance characteristics have been analysed using Grey relational analysis and an appreciable result has been reported with this approach.
Journal title :
International Journal of Industrial Engineering Computations
Serial Year :
2014
Journal title :
International Journal of Industrial Engineering Computations
Record number :
1367653
Link To Document :
بازگشت