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 …

Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …

The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …

With the advance in Industry 4.0, smart industrial monitoring has been proposed to timely
discover faults and defects in industrial processes. Steel is widely used in manufacturing …

Automatic defect recognition is one of the research hotspots in steel production, but most of
the current methods focus on supervised learning, which relies on large-scale labeled …

Optimization of tool life is required to tune the machining parameters and achieve the
desired surface roughness of the machined components in a wide range of engineering …

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

The acceptance of the machined surfaces not only depends on roughness parameters but
also in the flatness deviation (Δ fl). Hence, before reaching the threshold of flatness …

Copper matrix composites (CMC) are frequently used in the automotive, aerospace,
construction, and electrical-electronics industries. Properties such as low density, improved …

In tribology, a considerable number of computational and experimental approaches to
understand the interfacial characteristics of material surfaces in motion and tribological …