| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Powder Materials Processing and Fundamental Understanding
|
| Presentation Title |
Anisotropy in the Binder Jetting and Sintering Process of 316 Stainless Steel |
| Author(s) |
Runjian Jiang, Thomas Grippi, Andrii Maximenko, John Kang, Elisa Torresani, Eugene Olevsky |
| On-Site Speaker (Planned) |
Thomas Grippi |
| Abstract Scope |
In this study, the anisotropic sintering behavior of stainless steel 316L components produced by binder jetting process is detailed. The impact of the initial particle size distribution and various powder spreading parameters on the heterogeneity of the powder bed is investigated via discrete element modeling. The whole data collection is processed by machine learning to assess a possible origin for anisotropy. Then, a dilatometry is conducted during the sintering of stainless-steel cubic samples produced by binder jetting process on gas-atomized powder. This study is conducted in parallel for 3 different printing directions to evaluate the anisotropic shrinkage. Finally, based on a reference thermal cycle, the densification of these same samples has been interrupted at different sintering stages. Objectives of this experiment are the characterization of the microstructural evolution and the identification of parameters (porosity shape, grain size and shape, contact areas, etc.) as functions of the sintering time and temperature. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Powder Materials, Machine Learning |