About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Materials Design and Processing Optimization for Advanced Manufacturing: From Fundamentals to Application
|
Presentation Title |
Microstructure Prediction of Additively Manufactured 316L Using Heat Transfer, Thermodynamic, and Solidification Models |
Author(s) |
Charles Thomas Smith, Olivia Denonno, Matthew Schreiber, Anthony Petrella, Amy Clarke, Zhenzhen Yu, Jonah Klemm-Toole |
On-Site Speaker (Planned) |
Charles Thomas Smith |
Abstract Scope |
Microstructure development in fusion-based additive manufacturing (AM) starts with solidification. The vastly different microstructures observed across various AM processes of a given alloy have their origins in the thermal gradients (G) and interface velocities (V) that occur during solidification. In this presentation, we show how heat transfer, thermodynamic, and solidification models can be used to make predictions of the microstructure of 316L produced by laser powder bed fusion, laser wire directed energy deposition, and arc wire directed energy deposition. Methods to calibrate these models with characterization will be discussed. Applications of these experimentally validated models to predict microstructures irrespective of AM process will be explored. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Iron and Steel, Modeling and Simulation |