About this Abstract |
| Meeting |
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Symposium
|
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
|
| Presentation Title |
Accelerating Phase Field Simulations of Microstructure Evolution in Additive Manufacturing by Tensor Decomposition |
| Author(s) |
Ye Lu |
| On-Site Speaker (Planned) |
Ye Lu |
| Abstract Scope |
Phase-field simulations have been recognized as a powerful tool for understanding the detailed microstructure evolution in metal additive manufacturing (AM). However, their prohibitive computational cost has limited the achievable simulation domain size, leading to their predominant use in two-dimensional (2D) studies. This limitation has also hindered direct validation against larger experimental specimens and constrained their practical application in AM process optimization. This work presents a tensor decomposition-based model reduction framework for accelerating these phase field simulations. The core idea is to perform a spatial decomposition of the solution field to overcome the difficulties related to the growing degrees of freedom in large volume and high-resolution phase field simulations. The performance of the method will be demonstrated using 3D large volume phase field simulations of grain structure in AM processes. |
| Proceedings Inclusion? |
Undecided |