Optimization and prediction of surface quality and cutting forces in the milling of aluminum alloys using ANFIS and interval type 2 neuro fuzzy network coupled with population-based meta-heuristic learning methods

Milling is among the most commonly used, flexible, and complex machining methods; and adequate selection of process parameters, modeling, and optimization of milling is challenging. Due to complex morphology of cutting process, edge and surface defects and elevated cutting forces and temperature are...

Ausführliche Beschreibung