Machine Learning Modeling of Hardness–Depth Distribution of Nitrided Steels
A comprehensive database was constructed, comprising over twenty thousand hardness values from steels with various compositions and nitriding parameters, and two predictive models were developed incorporating physically based parameters such as nitrogen diffusion distance and nitriding layer thickness.