Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

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 …

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

The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …

Abstract Machine learning has numerous advantages, especially in the rapid digitization of
the manufacturing industry that combines data from manufacturing processes and quality …

Thermal errors can have significant effects on CNC machine tool accuracy. The errors come
from thermal deformations of the machine elements caused by heat sources within the …

Tool wear negatively affects machined surfaces and causes surface cracking, therefore
increasing manufacturing costs and degrading product quality. Titanium alloys, which are …

Remaining useful life (RUL) prediction of machining tools is a typical multi-sensor
information fusion problem. It involves the use of the monitoring information acquired from …

Compacted graphite iron (CGI) plays an important role in contemporary manufacturing of
automobile engine, and coated tool is the best choice for milling of CGI. But studies about …

Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …