| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Materials Design and Alloy Development II
|
| Presentation Title |
A Parameter Optimization Framework for Defect-free Metal Additive Manufacturing Using Laser Powder Bed Fusion |
| Author(s) |
Ibrahim Karaman, Raiyan Seede, Bing Zhang, David Shoukr, Alaa Elwany, Raymundo Arroyave |
| On-Site Speaker (Planned) |
Ibrahim Karaman |
| Abstract Scope |
Laser powder bed fusion (LPBF) has attracted significant attention due to its ability to produce near net shaped parts. However, there are numerous process parameters that must be adapted for different materials in this process. Improper selection of these parameters can result in highly porous parts and poor mechanical properties. Until recently, process parameter selection has been conducted via brute force experimentation, which is costly and time consuming. In an effort to optimize this selection process, a new protocol for determining printability maps is introduced. The protocol integrates an analytical thermal model with experimental validation, then uses geometric criteria for determining process parameters such that fully dense parts with minimal or no porosity can be produced. Using this framework, fully dense samples were achieved over a range of process parameters for several advanced materials, including recently developed ultra-high strength martensitic steel, a NiNb alloy, and a high entropy alloy. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |