The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

Milling is a high-performance method that allows an efficient machining of both flat and
complexly shaped surfaces. During the milling process, the cutting tool (cutters), its cutting …

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 …

Cutting tool condition is crucial in metal cutting. In-process tool failures significantly
influences the surface roughness, power consumption, and process endurance. Industries …

Tool condition monitoring is gaining a parallel development with the advancement of
automatic manufacturing processes in the last thirty years due to the increasing need for …

In micro milling, the tool wear condition is key to the geometrical and surface integrity of the
product. This study proposes a novel tool wear surface area monitoring approach based on …

The objective of this work is to develop a reliable tool condition monitoring system (TCMS)
for industrial application. The proposed TCMS is based on the analysis of the structure of the …

A new method based on a computer vision and statistical learning system is proposed to
estimate the wear level in cutting inserts in order to identify the time for its replacement. A …

The direct detection method of tool wear using industrial cameras is an important guarantee
for product quality evaluation and optimization of machining parameters. Due to the …

This study describes image processing systems based on an artificial neural network to
estimate tool wear. The Single Category-Based Classifier neural network was used to …