| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: ICME Gap Analysis
|
| Presentation Title |
Efficient Mechanistic Modeling of Additive Manufacturing (AM) Processes |
| Author(s) |
Sergei Burlatsky, David U. Furrer |
| On-Site Speaker (Planned) |
Sergei Burlatsky |
| Abstract Scope |
Additive manufacturing has the potential to unlock unprecedented component geometric design optimization with unique materials on-demand. Additive manufacturing processes are very complicated and have driven considerable effort in the characterization of processes and additively manufactured materials. The known path dependency of final material and component capabilities have naturally driven the focus of AM technology development toward process monitoring and control. Advanced methods to identify and optimize AM build paths are a significant goal for the entire industry. Though various process design and optimization approaches are possible, these approaches often do not readily provide a means for application to arbitrary geometries with understanding of causal relationships between processing parameters and final build quality. There is a need for computationally efficient modeling tools and methods that can simulate AM processes for rapid process development and part qualification. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |