Prediction of Surface Roughness for Milling Operation Using Artificial Neural Network

SURFACE ROUGHNESS PREDICTION IN HARD-TURNING WITH ANN AND RSM

A study of surface roughness and material removal rate for optimal parametric combination in turning of GFRP composites

PREDICTION OF MACHINING OPERATIONS AND SURFACE ROUGHNESS USING ARTIFICIAL NEURAL NETWORK

MODEL DEVELOPMENT FOR SURFACE ROUGHNESS PREDICTION OF AL 1050/SiCp MMCs MACHINED PARTS

Experimental Study of the Surface Roughness and the Delamination in the Drilling of GFRP and AL/SiCp Composites with Different End Mills

Experimental Analysis of surface Roughness and Material Removal Rate in Turning Operation using Response Surface Methodology

Analyzing the surface roughness for GFRPs drilled Hole when using different tools and different methodology (A review)

Modeling and Optimization of Process Parameters for Surface roughness and Cutting Forces on End Milling using RSM and Taguchi Method

PREDICTION OF DELAMINATION SIZE IN DRILLING FIBER REINFORCED POLYMERIC COMPOSITE MATERIALS USING ARTIfICIAL NEURAL NETWORKS TECHNIQUE