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  Journal Paper


Paper Title :
Taguchi Grey Relational Analysis For Quality Optimization In Abrasive Flow Finishing Of Multiple Holes In Zinc Components

Author :Saad Saeed Siddiqui

Article Citation :Saad Saeed Siddiqui , (2014 ) " Taguchi Grey Relational Analysis For Quality Optimization In Abrasive Flow Finishing Of Multiple Holes In Zinc Components " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 1-9, Volume-2,Issue-12

Abstract : An effective technique, Taguchi Grey Relational Analysis (TGRA) has been applied for optimization of quality characteristics in abrasive flow finishing (AFF) of multiple holes in zinc components with simultaneous consideration of multiple output responses. The technique combines Taguchi’s orthogonal array DOE with the grey relational analysis to identify the optimal setting of AFF process parameters which yields enhanced overall quality characteristics, higher values of material removal and change in surface roughness, in finish-machining of multiple holes in zinc components. The parameter settings, within the studied range, having highest values of grey relational grade yield enhanced quality characteristics, in terms of material removal and change in surface roughness values, and depict the optimal setting of AFF parameters. The algorithm greatly simplifies multi-objective optimization of quality in abrasive flow finishing of multiple holes in zinc components and experimental results confirm significant improvement in quality. Keywords- Abrasive Flow Machining; Quality Characteristics; Material Removal (mg) ; Change in Surface Roughness (µ); Taguchi Grey Relational Analysis.

Type : Research paper

Published : Volume-2,Issue-12


DOIONLINE NO - IJMPE-IRAJ-DOIONLNE-1559   View Here

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