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 …

In industrial steel plate production, process parameters and steel grade composition
significantly influence the microstructure and mechanical properties of the steel produced …

Artificial neural networks are an effective and frequently used modelling method in
regression and classification tasks in the area of steels and metal alloys. New publications …

Recently, the hybrid method has been developed in which wire and arc additive
manufacturing (WAAM) use to produce the near net shape preform for the single-step hot …

In this study, composite coatings with Ni-B alloy main structure reinforced with TiC
nanoparticles were coated on a stainless steel substrate by electrodeposition method. The …

The relationship between the fiber diameter and electrospinning process variables is
complicated and nonlinear. In this study, we developed an artificial neural network model to …

An artificial neural network model was developed to correlate the relationship between the
alloying elements (Al, V, Fe, O, and N) and heat treatment temperature (inputs) with the …

The heat transfer model plays a significant role in improving the steel quality during quench
cooling by water jet impingement. However, the available models are still incapable of …

Direct energy deposition (DED) is a highly applicable additive manufacturing (AM) method
and, therefore, widely employed in industrial repair-based applications to fabricate defect …

An Artificial Neural Network (ANN) model has been applied to the prediction of key weld
geometries produced using Gas Metal Arc Welding (GMAW) with alternating shielding …