On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

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 …

Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …

Intelligent spindles are core components of the next-generation of intelligent/smart machine
tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent …

CIRP has had a long history of research and publication on the development and
implementation of sensor monitoring of machining operations including tool condition …

Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …

Many machining monitoring systems based on artificial intelligence (AI) process models
have been successfully developed in the past for optimising, predicting or controlling …

Tool wear is an important limitation to machining productivity and part quality. In this paper,
remaining useful life (RUL) prediction of tools is demonstrated based on the machine …

Due to the demands of Computer-Integrated Manufacturing (CIM), the Tool Condition
Monitoring (TCM) system, as a major component of CIM, is essential to improve the …

As the tool wear increases, the surface quality of the workpiece will decrease, and even the
workpiece will be scrapped. Therefore, in order to obtain a better machined workpiece …