Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning

This study investigates the prediction of relative density in L‑PBF parts using machine learning models trained on a literature-based dataset comprising 287 experimental measurements collected from previously published studies. The input parameters for the proposed models included laser power, scann…

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