A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing.

ABSTRACT: Additive manufacturing (AM) fabricates physical objects by layering materials from a 3D digital model. In metallic AM, the melt pool represents a region of superheated molten material and plays a critical role in determining part quality. Monitoring this region has proven valuable for downstream analytics such as defect detection and microstructure prediction. Melt pool signatures, represented through various modalities (e.g., visual, thermal, acoustic) and metrics (e.g., temperatures, gradients, rates), capture essential process patterns. However, the diversity of materials, process parameters, and sensing configurations across AM systems has limited standardization. To address this, we introduce Melt-Pool-Kinetics, a curated dataset compiled from 32 datasets across 23 sources, totaling 1

SUBMITTER: Jabbour W 

PROVIDER: S-EPMC12276356 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature