Abstract Machine learning is now applied in virtually every sphere of life for data analysis
and interpretation. The main strengths of the method lie in the relative ease of the …

The application of machine learning (ML) techniques to metal-based nanomaterials has
contributed greatly to understanding the interaction of nanoparticles, properties prediction …

Heat resistant alloys such as Inconel 718 present challenges to manufacturing industries
during its machining. Machinability of such alloys can be improved using smart cutting …

Currently, the growth of material data from experiments and simulations is expanding
beyond processable amounts. This makes the development of new data‐driven methods for …

In this study, a systematic research was conducted to compare the performances of the
regression model and artificial neural network in predicting the nugget diameter of spot …

Considering the complex relationship among mechanical properties of 7xxx aluminum alloy,
it is very crucial to optimize two or more target properties simultaneously in developing new …

Forming and fracture forming limit diagrams are significant performance indexes for
evaluating the formability of a material. In the present study, experimental and theoretical …

Significant cutting temperature rise is induced in dry machining Inconel 718 with high cutting
speed due to its low thermal conductivity and high hot hardness. PVD AlTiN coating can …

This study investigates the plastic deformation and hardening behavior of the direct-
quenched ultra-high strength steel S960MC at various temperatures ranging from room …

The precipitation behaviors of δ phases (Ni 3 Nb) in a nickel-based superalloy are
investigated by stress-free and stress aging tests. The effects of aging parameters on the …