Machine learning tools represent key enablers for empowering material scientists and
engineers to accelerate the development of novel materials, processes and techniques. One …

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 …

Abstract Ti6Al4V titanium (Ti) alloy is a frequently used engineering material in industrial
applications due to its superior properties. In this work, single-objective and multi-objective …

This paper presents methodology to identify the surface roughness value in CNC machining
process using a soft computing approach. The aim of this paper is to achieve a roughness …

In this work, the flank wear of the cutting tool is predicted using artificial neural network
based on the responses of cutting force and surface roughness. EN8 steel is chosen as a …

Monitoring surface quality during machining has considerable practical significance for the
performance of high-value products, particularly for their assembly interfaces. Surface …

Titanium alloys are notoriously difficult to machine. They are used in the manufacture of
various types of lightweight components. It is therefore important to improve their …

The manufacturing of critical structural components for aerospace applications needs to
meet high-reliability requirements, and surface integrity is one of the key factors to evaluate …

The machinability of high-performance materials such as superalloys, composites, and
hardened steel has been a big challenge due to their mechanical, physical, and chemical …

Cutting temperature during machining plays a very important role in the overall performance
of machining processes. Since, it was a very difficult task to measure the tool temperature …