Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel

Estimation of cutting forces and surface roughness for hard turning using neural networks

(2008) Vishal S. Sharma et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel

(2008) M. Anthony Xavior et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis

(2008) N. Muthukrishnan et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

The experimental investigation of the effects of uncoated, PVD- and CVD-coated cemented carbide inserts and cutting parameters on surface roughness in CNC turning and its prediction using artificial neural networks

(2008) Muammer Nalbant et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method

(2007) Ulaş Çaydaş et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Modeling of surface roughness in precision machining of metal matrix composites using ANN

(2007) Abeesh C. Basheer et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models

(2007) J. Paulo Davim et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A hybrid finite element method–artificial neural network approach for predicting residual stresses and the optimal cutting conditions during hard turning of AISI 52100 bearing steel

(2007) D. Umbrello et al.   MATERIALS & DESIGN