This paper presents an approach for modeling and prediction of both surface roughness and cutting zone tem￾perature 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 adap￾tive neuro-fuzzy inference

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