Abstract
Due to widespread application of Carbon Fiber Reinforced Polymer (CFRP) composites mostly in defense and aerospace industries; machining of these materials has become a major concern today. As machinability of CFRP composites is remarkably different from conventional metals; proper understanding of process behavior followed by identifying the most favorable machining environment (optimal setting of process parameters) is of utmost important. The present paper highlights application of nonlinear regression and Fuzzy Logic (FL) in combination with Imperialist Competitive Algorithm (ICA) for selection of optimal process parameters setting for achieving satisfactory machining performance on CFRP (epoxy) composites. Application potential of fuzzy embedded ICA approach has been compared to that of Genetic Algorithm (GA).
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