Multi-response optimisation in CNC turning of Al-6082 T6 using grey Taguchi method coupled with principal component analysis
by G. Suresh Kumar; P. Venkateshwar Reddy; D. Mohana Krishnudu
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 13, No. 4, 2020

Abstract: The present work focuses to analyse the importance of turning parameters on the responses: machining time, surface roughness and material removal rate in CNC turning while machining of aluminium alloy Al-6082 T6 using tungsten carbide tool. Cutting speed, feed rate and depth of cut with three levels each have been considered in the current work as the machining parameters. The present study uses the Taguchi's DOE methodology, grey relational approach and principal component analysis (PCA) to optimise the response parameters simultaneously. Experiments have been conducted as per Taguchi's L9 orthogonal array. The experimental results were then analysed using the grey relational analysis (GRA) along with the principal component analysis (PCA). The speed and feed are observed to be statistically significant on the responses whereas the depth of cut is insignificant. Optimal levels for the parameters are determined using the grey Taguchi method and PCA. The confirmation test is carried out and the results are validated.

Online publication date: Thu, 22-Oct-2020

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