Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

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 …

An effort was made to monitor the flank wear using wavelet analysis by extracting the
Hoelder's exponent as a feature and using various machine learning algorithms to forecast …

Various existed time-series decomposition methods, including wavelet transform, ensemble
empirical mode decomposition (EEMD), local characteristic-scale decomposition (LCD) …

The integrity of machining tools is important to maintain a high level of surface quality. The
wear of the tool can lead to poor surface quality of the workpiece and even to damage of the …

Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …

Tool wear and breakage is one of the biggest obstacles for developing the unattended CNC
machining. Especially when cutting the difficult-to-machining materials, the tool wear will be …

Increasing demands of process automation for un-manned manufacturing attracted many
researchers in the field of on-line monitoring of machining processes. In view of this …

Managing tool-wear is an important issue associated with all material removal processes.
This paper deals with the application of two nature-inspired computing techniques, namely …

CNC milling is a highly complex machining process highly valued in various industries,
including the automotive and aerospace industries. With the increasing competition …