<strong>Paper Title</strong><br>
Taguchi Grey Relational Analysis For Quality Optimization In Abrasive Flow Finishing Of Multiple Holes In Zinc Components<br>
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<strong>Abstract</strong><br>
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.