Machine Learning Accelerates Direct Energy Deposition Research

A review published on ResearchGate by researchers at the University of Windsor analyzes how machine learning (ML) is being applied to direct energy deposition (DED) and wire arc additive manufacturing (WAAM). Covering studies published between 2010 and mid-2025, the review shows that research activity expanded rapidly after 2020, with methods such as deep learning, fuzzy […]