Methodologies Developed for Dataset Preparation and the Interpretability of Machine Learning Algorithms Used for the Prediction of Crack Growth Rate

The recent development of systems with high computational capabilities has made data-driven methods increasingly useful also in the material science field. In this study, the information from existing literature on fatigue crack growth behaviour in additive manufactured components was used within