Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Tool condition monitoring has gained considerable importance in the manufacturing industry
over the preceding two decades, as it significantly influences the process economy and the …

This paper presents methodology to identify the surface roughness value in CNC machining
process using a soft computing approach. The aim of this paper is to achieve a roughness …

The use of computer vision techniques to inspect surface roughness of a workpiece under a
variation of turning operations has been reported in this paper. The surface image of the …

Modeling and prediction of surface roughness of a workpiece by computer vision in turning
operations play an important role in the manufacturing industry. This paper proposes a …

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 …

In this paper, a method for on-machine tool progressive monitoring of tool flank wear by
processing the turned surface images in micro-scale has been proposed. Micro-scale …

Computer vision provides image-based solutions to inspect and investigate the quality of the
surface to be measured. For any components to execute their intended functions and …

There has been much research on the automated monitoring of cutting tool wear. This
research has tended to focus on three main areas that attempt to quantify the cutting tool …

The paper presents a system for measuring surface roughness of turned parts through
computer vision system. The images of specimens grabbed by the computer vision system …