| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Process-induced Microstructures and Defects
|
| Presentation Title |
Enhancing the Productivity in Laser Powder Bed Fusion through Functionally Graded Structures |
| Author(s) |
Alya Alhammadi, Hend Alqaydi, Chinmay Phutela, Rafael Santiago, Nesma T. Aboulkhair |
| On-Site Speaker (Planned) |
Alya Alhammadi |
| Abstract Scope |
Using optimal process parameters is one of the most important factors in producing fully-dense defect-free additively manufactured parts. The effect of defects is particularly magnified in parts employed in extreme loading conditions, as they may be detrimental to their performance. However, the high production time associated with additive manufacturing has posed as a drawback in its industrial adoption. The low production rate comes from the layer-wise manufacturing approach, where utilizing smaller layer thicknesses improves the resolution of the part and allows the integration of finer details, but on the other hand adversely affects productivity. In this study, the effect of increasing the layer thickness in laser powder bed fusion from 30 μm to 60 μm is studied with respect to microstructure evolution and high strain-rate properties. A part with alternating layer thicknesses is then produced to investigate the potential of functional grading for targeted strenuous applications. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Iron and Steel, Characterization |