Leveraging metaheuristic algorithms with improved hybrid prediction model framework for enhancing surface roughness optimization in CNC turning AISI 316

Utilization of prediction and optimization techniques in machining operations assists with the decision-making required for machining parameter selection, directly impacting process outcomes including the surface roughness of the workpiece. Often these methods exclude the consideration of tool wear and critical information contained within sensor data collected during the cutting process. This study enhances the application of a hybrid …