| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Microstructural Engineering in Steel 3D Printing with PBF Method: High-throughput Computational Design |
| Author(s) |
Hamed Hosseinzadeh, Mark Horstemeyer |
| On-Site Speaker (Planned) |
Hamed Hosseinzadeh |
| Abstract Scope |
One of the challenges in metal additive manufacturing is the unwanted microstructure achieved. In this research, high-throughput simulations were done for steel 3D printed with powder bed fusion (PBF) method to check the local cooling curves at different print parameters. Then, local grain topology and phase percentages were mapped. The extreme possibilities of in situ controlling microstructure were checked to achieve what we wanted at the end of the print. Series of weighted numbers for the print parameters and steel phases were introduced to relate and weight effect of print parameters on the final microstructure. These weighted numbers could then be used to set print parameters based on the final goal microstructure in any other shapes of steel 3D printed samples with the PBF method to reduce the number of trials and errors. The results could also be a platform for the control system in digital twin metal additive manufacturing. |
| Proceedings Inclusion? |
Undecided |