In modern manufacturing environments, the quality assurance of machined parts has
attracted great attention from manufacturers. The surface roughness of a workpiece is one of …

Dynamic surface roughness prediction during metal cutting operations plays an important
role to enhance the productivity in manufacturing industries. Various machining parameters …

An in-process based surface recognition system to predict the surface roughness of
machined parts in the end milling process was developed in this research to assure product …

This paper describes a new approach for surface roughness recognition (ISRR) systems to
predict surface roughness (Ra) in-process using an accelerometer to measure vibration …

This paper presents a system for automated, non-contact, and flexible prediction of surface
roughness of end-milled parts through a machine vision system which is integrated with an …

Surface roughness is influenced by the machining parameters and other uncontrollable
factors resulting from the cutting tool in end milling operations. To perform the in-process …

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 …

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 …

abstract This paper proposed the methodology of identified the surface roughness accuracy
rate in the CNC milling process by Artificial Neural Network. Al6061 preferred as job material …

The surface roughness is a crucial index that is commonly used in the machining process to
evaluate the final product quality. This paper investigates the effect of different machining …