Tool condition monitoring and machine tool diagnostics are performed using advanced
sensors and computational intelligence to predict and avoid adverse conditions for cutting …

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 …

The most important improvement in metal the cutting industry is the continuous utilization of
cutting tools and tool condition monitoring system. In the metal cutting process, the tool …

In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …

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 …

Tool wear is one of the main issues encountered in the manufacturing industry during
machining operations. In traditional machining for chip removal, it is necessary to know the …

Milling is an extremely adaptable process that can be utilized to fabricate a wide range of
shapes and intricate 3D geometries. The versatility of the milling process renders it useful for …

Tool condition monitoring (TCM) and remaining useful life (RUL) prediction is of great
practical significance for any machining process to ensure machining quality and reduce the …

Tool condition monitoring (TCM) systems have evolved into an essential requirement for
contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …

This comprehensive review aims to achieve and develop an automated platform to acquire
and process data for error compensation in CNC manufacturing. The Industrial Internet of …