About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
|
Symposium
|
Additive Manufacturing Modeling, Simulation and Machine Learning
|
Presentation Title |
AMMap Library of Additive Manufacturing Design, Alloy Discovery, and Path Planning |
Author(s) |
Alexander Richter, Adam Krajewski, Zhening Yang, Allison Beese, Zi-Kui Liu |
On-Site Speaker (Planned) |
Alexander Richter |
Abstract Scope |
Functionally graded materials (FGMs) made by additive manufacturing often have undesired phase formation or hot-cracking that negatively effect a build. Equilibrium calculations and Scheil-Gulliver simulations can be used to predict phase formation to find feasible intermediate compositions. In addition, information gained from Scheil-Gulliver simulation can be used to predict hot-cracking by different criteria to determine regions that are most feasible for material design. To navigate and define the high order composition systems of most alloys, the open-source library, AMMap, has been developed utilizing CALPHAD methods for thermodynamic computation. AMMap explores spaces with the nimplex library, using a novel algorithm to represent even high-dimensional systems as graphs that can be joined together into homogenous structures and explored with graph traversal algorithms to automate the path-design process. This method allows the use of existing high-performance gradient descent, graph traversal search, and other path optimization algorithms to automate the path-design process. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, |