Tool failure detection is a crucial task for continuous safe machining operations. In this study,
a novel approach is proposed to develop an accurate and simple tool condition …

In high-speed cutting processes, late replacement of defective tools may lead to machine
breakdowns and badly affect the product quality, which subsequently lead to scrap parts and …

Abstract Machine learning has been widely used in diagnosing system faults as an
integration part in modern intelligent manufacturing. However, sensor selection and index …

A tool condition monitoring (TCM) system is vital for the intelligent machining process.
However, literature has mostly ignored the interaction effect between product quality and …

C atastrophic tool failure (CTF) in milling process can cause damage to the product's
machined surface and the machine tools, leading to huge financial losses. It is therefore …

Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

This research focuses on the crucial role of monitoring tool conditions in milling to improve
workpiece quality, increase production efficiency, and reduce costs and environmental …

This paper presents a methodology aimed at the identification of a catastrophic tool failure
(CTF) in turning processes based on multiple sensor monitoring. Experimental turning tests …

Tool condition monitoring (TCM) in machining operations is crucial to maximise the useful
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …

Tool monitoring and machine diagnosis in real machining have been crucial to the
realization of fully automated machining. Also, the on-line detection technique of the tool …