About this Abstract |
| Meeting |
2026 AWS Professional Program
|
| Symposium
|
2026 AWS Professional Program
|
| Presentation Title |
Assessment of Critical Phase Transformation Temperatures for Modeling of Welding and Additive Manufacturing |
| Author(s) |
Nitheesh Kumar Ramasamy, Felipe Castro Cerda, Patricio Mendez |
| On-Site Speaker (Planned) |
Nitheesh Kumar Ramasamy |
| Abstract Scope |
Phase transformation temperatures are critical input parameters for modeling welding and additive manufacturing. The uncertainty in these temperatures is an important factor in assessing the uncertainty and reliability of process models. In this work, a detailed analysis is performed to determine the uncertainty in the melting range and solid-state transformation temperatures of some key materials of interest. Quantified uncertainty captures the uncertainty from the measurement instrument and the variability in material response. The analysis includes an exhaustive literature survey and computational modeling, including thermodynamics and Scheil-Gulliver models. To provide actionable guidance for process modelers, a novel four-quadrant classification framework is introduced to systematically segregate alloys based on data abundance and statistical variance. The resulting framework helps identify gaps in the data being used in modeling advanced manufacturing processes. |
| Proceedings Inclusion? |
Undecided |