| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Solid-State Transformations Under Complex Thermal Conditions
|
| Presentation Title |
Towards Predictive Microstructural Design of Additively Manufactured Metals |
| Author(s) |
Janith Wanni, Subodh Subedi, Krishnan Suresh, Dan J. Thoma |
| On-Site Speaker (Planned) |
Dan J. Thoma |
| Abstract Scope |
The microstructural design of materials fabricated via laser powder bed fusion (LPBF) requires predicting the influence of process parameters on the solidification behavior and the thermal cycling effects during fabrication. This study utilizes automated simulations alongside experimental characterization to define the process-structure-property relationships in LPBF of 316L stainless steel samples. Power-velocity maps are used to investigate the simulated solidification and thermal history maps. In addition, thermal cycling simulations are used to estimate the thermal strain associated with the successive deposition of layers in the additive manufacturing technique. Experimentally, validation is achieved with high-throughput synthesis of bulk samples coupled with both accelerated and conventional characterization techniques. Grain size, dendrite spacing, texture, grain boundary misorientation, and dislocation densities are used to generate microstructure power-velocity maps. Finally, automated indentation provides mechanical responses across various length scales. The interaction of experimental and simulation results provides a useful methodology to predict process strategies. |