Optimization of Abrasive Flow Nano-Finishing Processes by Adopting Artificial Viral Intelligence

This work deals with the optimization of crucial process parameters related to abrasive flow machining applications at micro/nano-levels. The optimal combination for nano-finishing has been determined by applying a modified virus-evolutionary genetic algorithm. algorithm implements two populations: One comprising hosts and one viruses. Viruses act as information carriers thus they contribute boosting efficient schemata in binary coding facilitate both arrival global solutions rapid convergence speed. Three cases have selected from literature implement algorithm, results corresponding them compared those available contributions. It verified that obtained are not only practically viable, but far more promising others well. three traditional “abrasive finishing,” “rotating workpiece” finishing, “rotational-magnetorheological” finishing.