Prediction of surface roughness in end milling process by machine vision using neuro fuzzy network

The roughness of the machined surface is a main concern because product fitness depends on surface roughness. The monitoring of roughness on the workpiece in end milling process by applying machine vision method is presented in this research work. The captured machined image of the work piece is extorted by image processing method. A neuro fuzzy model is used to relate the actual and predicted roughness at various cutting parameters in end milling operation. Measurement of milled surface is monitored with less error when the extracted milled image and milling parameters are fed into the model. The values of the surface roughness predicted by neuro fuzzy model are then verified with experiments and are compared. The prediction accuracy motivating that computer vision technique could be used to various on-line automated manufacturing sectors.