| Scope |
Additive manufacturing (AM) has enabled unprecedented flexibility in materials and component design; however, variability in thermal history, melt pool dynamics, and defect formation continues to limit widespread industrial adoption. In-situ process monitoring provides a pathway toward robust qualification, defect mitigation, adaptive control, and digital certification of AM components.
This symposium aims to bring together researchers and industry experts working on real-time sensing, process diagnostics, machine learning, and closed-loop control strategies for additive manufacturing processes. Contributions are invited that advance the understanding of process–structure–property relationships through in-situ monitoring and data-driven analytics across powder bed fusion, directed energy deposition, binder jetting, and hybrid manufacturing systems. |