Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …

One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …

Abstract Machine learning (ML) is a set of computational tools that can analyze and utilize
large amounts of data for many different purposes. Recent breakthroughs in ML and artificial …

The study aims to elaborate a neural model and algorithm for optimizing hardness and
porosity of coatings and thus ensure that they have superior cavitation erosion resistance …

Thermal spray processing is used to confer specific in-service properties to components via
the production of a coating between 50 μm (minimum value) to a few millimeters thick …

The prevalence of artificial intelligence (AI) is driving the acceptance of various machine
learning (ML) approaches. With artificial neural networks (ANN), a comprehensive physical …

Optimization of control parameters for plasma spraying process is of great importance in
thermal spray technology development. Engineers may limit themselves to local optimal …

High-velocity oxygen fuel (HVOF) spraying is a promising technique for depositing protective
coatings. The performances of HVOF-sprayed coatings are affected by in-flight particle …

The present work deals with modeling coating characteristics of yttria-stabilized zirconia
such as deposition efficiency, adhesion strength, surface roughness, and hardness in …

Alloy 625 is a Ni-based superalloy which is often a good solution to surface engineering
problems involving high temperature corrosion, wear, and thermal degradation. Coatings of …