Abstract
Present research explores NSGA II for the selection of optimal process parameters during machining (turning) of GFRP (epoxy) composites. Experiments have been conducted on GFRP composites under different conditions of process parameters. L9 OA based on Taguchi's philosophy has been adopted for experimentation to assess the effect of spindle speed, feed rate and depth of cut on the machining performance characteristics such as surface roughness and tool tip temperature. A non-linear regression analysis has been carried out to establish relationship for aforementioned machining responses as a function of process variables. In order to achieve multi-response optimization, NSGA has been adopted. The set of optimal non-dominated solutions have been evaluated using NSGA II which gives the manufacturer more flexibility in decision making in machining process.
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