STUDIES ON MILLING OPERATIONS ON GRAPHENE OXIDE-EPOXY NANO COMPOSITES: OPTIMIZATION BY TAGUCHI APPROACH

Abstract

This project presents the use of Taguchi optimization methodology in optimizing the cutting parameters of an end-milling process for machining the Graphene Oxide reinforced epoxy hybrid composite material under dry condition. The machining parameters which are been assessed in this analysis are the depth of cut (d), cutting speed (S) and feed rate (f). While the reaction variables to be estimated are the surface roughness of the machined composite surface and the cutting force. A symmetrical exhibit of the Taguchi strategy was set-up and used to dissect the impact of the milling parameters on the surface roughness, material removal rate and cutting force.

The outcome from this examination demonstrates that the use of the Taguchi method can decide the best mix of machining parameters that can give the ideal machining reaction conditions which are the lowest surface roughness and most minimal cutting force value. For the best surface finish, A1-B3-C3 (d = 0.4 mm, S = 1500 rpm, f = 60 mm/min) is observed to be the optimized combination of levels for all the three control factors from the analysis.

In the interim, the streamlined blend of levels for all the three control factors from the analysis which gives the lowest cutting force was observed to be A2-B2-C2 (d = 0.6 mm, S = 1000 rpm, f = 40 mm/min).