Abstract
In this research work, the grey relational analysis (GRA) is used as an optimization tool to find out the suitable process parameters for the machining of carbon nanotube-reinforced carbon fibre nanocomposite. In discrete space degree of relation of different data sets analysed by GRA. In this experimental work, four process parameters are selected, namely peak current (Ip), pulse on time (Ton), duty cycle (η) and gap voltage (Vg), and the significant effect on material removal rate (MRR) and tool wear rate (TWR) has been calculated. Both are considered as the main input variables for the selection of suitable process parameters. Predicted process parameters by GRA show significant increment of 0.000003 in MRR and significant reduction of 0.001904 in TWR.
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