About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Modeling, Simulation and Artificial Intelligence
|
| Presentation Title |
An Experimentally Validated Defect Mapping Strategy for Laser Powder Bed Fusion Processed Nickel Alloys |
| Author(s) |
Daniel McConville, Cheryl Hawk, Stephen Tate, Jonah Klemm-Toole |
| On-Site Speaker (Planned) |
Daniel McConville |
| Abstract Scope |
Efficient parameter development for laser powder bed fusion is challenging. To assess the extent of lack of fusion or keyholing porosity in a set of samples, researchers often employ a design of experiments approach or analyze volumetric energy density in testing many combinations of laser power and scanning velocity. An increasingly popular alternative involves modeling defect regimes to identify a region of processing space that may be considered adequate, but the models only provide indications of conditions under which a keyhole may begin to form or when semicircular-shaped melt pools fully overlap with no lack of fusion. In this work, we evaluate the degree of melt pool overlap needed to eliminate lack of fusion porosity and the correction factor necessary to observe keyhole porosity in IN625. The robust modeling framework presented may be extended to other systems to accelerate the adoption of new alloys in additive manufacturing. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Copper / Nickel / Cobalt, Modeling and Simulation, Additive Manufacturing |