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