In this work, a back propagation neural network model has been developed for the
prediction of surface roughness in turning operation. A large number of experiments were …

A neural-network-based methodology is proposed for predicting the surface roughness in a
turning process by taking the acceleration of the radial vibration of the tool holder as …

This study considers the performance of a radial basis function neural network for predicting
the surface roughness in a turning process. A simple algorithm is proposed for finding the …

Machine parts during their useful life are significantly influenced by surface roughness
quality. The machining process is more complex, and therefore, it is very hard to develop a …

Surface roughness, an indicator of surface quality, is one of the most specified customer
requirements in machining of parts. In this study, the experimental results corresponding to …

Surface roughness, an indicator of surface quality is one of the most-specified customer
requirements in a machining process. For efficient use of machine tools, optimum cutting …

In manufacture sector, the surface finish quality has considerable importance that can affect
the functioning of a component, and possibly its cost. The surface quality is an significant …

In CNC milling process, proper setting of cutting parameter is important to obtain better
surface roughness. Unfortunately, conventional try and error method is time consuming as …

Surface roughness is an important outcome in the machining process and it forms a major
part in the manufacturing system. Surface roughness depends on different machining …

Surface roughness plays an important role in product quality and manufacturing process
planning. This research focuses on developing an empirical model for surface roughness …