About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing of Metals: Microstructure, Properties and Alloy Development
|
| Presentation Title |
High Throughput Generation of Alloy Microstructure Selection Maps |
| Author(s) |
James Hanagan, Peter Morcos, Brent Vela, Xueqin Huang, Raymundo Arróyave |
| On-Site Speaker (Planned) |
James Hanagan |
| Abstract Scope |
Predicting whether an additively manufactured alloy will exhibit a dendritic microstructure has important implications for solidification behavior and properties of the as-built part. Phase-field modeling can predict solidification morphology and create microstructure selection maps, however high computational cost often precludes its use for high throughput (HTP) microstructural design. The analytical model on rapid solidification proposed by Kurz, Giovanola, and Trivedi (KGT) provides a faster alternative to generate microstructure selection maps as a function of thermal gradient and solidification velocity—two quantities that can be modeled for laser powder bed fusion (LPBF). In this work, we couple the KGT model with HTP CALPHAD simulation to generate maps and inform the design of alloy-process pairs. We then demonstrate how the microstructure maps can also be applied to entire alloy design spaces, where properties of maps can be quantified and utilized as design metrics for filtering and selection of alloys. |