| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Length-Scale Phenomena in Mechanical Response
|
| Presentation Title |
A Mixed Analytical/Empirical Model for Synthetic Generation of As-Printed Microstructures |
| Author(s) |
Alexander F. Chadwick, Peter W Voorhees |
| On-Site Speaker (Planned) |
Alexander F. Chadwick |
| Abstract Scope |
Understanding the grain morphology after printing remains a critical step in designing predictive modeling frameworks of additive manufacturing processes. However, techniques such as phase-field or cellular automata are still computationally expensive at large scale. Here, we present a method that combines a semi-analytical solution of grain boundary trajectories around the solidifying melt pool with empirical rules to fill the remaining volume. This reduced-order model produces columnar, nonconvex grain morphologies that are consistent with those seen in phase-field simulations. However, we realize an orders of magnitude reduction in computational cost: single pass simulations require hours on a laptop instead of days on a supercomputer. This approach naturally scales to multiple scans or powder layers, which can be treated in a nearly identical manner to the original substrate. We demonstrate the model with various melt pool geometries and scan strategies. We also examine the feasibility of incorporating textural information into the model. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Additive Manufacturing, ICME |