Prediction of surface roughness and cutting zone temperature in turning processes of AISI 304 stainless steel using ANFIS with PSO learning
This paper presents an approach for modeling and prediction of both surface roughness and cutting zone temperature in turning of AISI304 austenitic stainless steel using multi-layer coated (TiCN+TiC+TiCN+TiN) tungsten carbide tools. The proposed approach is based on an adaptive neuro-fuzzy inference