Taguchi L9 orthogonal array-based Taguchi Multiple Response Optimization of Machining Parameters on Turning of AA 6063 T6 Aluminum Alloy with Grey Relational Analysis
Keywords:
Taguchi and ANOVA, Grey Relation Analysis, S/N Ratio,, Material Removal Rate, Taguchi MethodAbstract
There is a new way to optimising the turning characteristics of aluminium alloy AA 6063 T6 based on I. Taguchi L9 orthogonal array and current research. The tests employ aluminium alloy AA 6063 T6. It is used for turning trails in dry cutting conditions with the uncoated carbide inserts. Optimization of cutting parameters including cutting speed, feed rate, and depth of cut take into consideration both surface roughness (Ra) and the material removal rate (MRR) (MRR). Based on the grey analysis, a grey relational grade (GRG) is created. ANOVA is used to determine whether variables have a significant effect once the optimal number of components has been determined using grey relational grade values. The findings of the exam are verified by doing a follow-up test. This conclusion is supported by the data gathered throughout the research. Increasing the turning process's response time is an option.
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