the surface roughness of the parts is analyzed while varying machine parameters like laser power and scan settings. Laser … for further post-processing techniques, which require a low initial value of surface roughness. … traditional and additive manufacturing in one process chain. Special attention is given to the surface quality in terms of surface …

-finish machine. The results show that the ECH of recovered surfaces gives a glazed texture and produce an average surface roughness … of 0.347 μm with the processing time of 90 s. The monitored outputs such as surface roughness (average, Ra and maximum …

Taguchi design matrix. Surface roughness is the most important performance characteristics of the face milling process. In … this study the effect of input face milling process parameters on surface roughness of AISI1045 steel milled parts have … models. In the last section of this research, mathematical model has been developed for surface roughness prediction using …

Various artificial neural networks types are examined and compared for the prediction of surface roughness in … neural networks are examined. All the aforementioned algorithms are used for the prediction of surface roughness in milling …

Various artificial neural networks types are examined and compared for the prediction of surface roughness in … neural networks are examined. All the aforementioned algorithms are used for the prediction of surface roughness in milling …

Taguchi design matrix. Surface roughness is the most important performance characteristics of the face milling process. In … this study the effect of input face milling process parameters on surface roughness of AISI1045 steel milled parts have … models. In the last section of this research, mathematical model has been developed for surface roughness prediction using …