| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Characterization of Minerals, Metals and Materials
|
| Presentation Title |
Modeling the Anisotropic Mechanical Properties of Fused Deposition Modeling ABS using an Artificial Neural Network - Part 2 |
| Author(s) |
Brian S. Kessler, Sarah Gladding, Aric Harper |
| On-Site Speaker (Planned) |
Brian S. Kessler |
| Abstract Scope |
Fused deposition modeling (FDM), a common known 3D printing method, has been used for some time as a tool for rapid product prototyping. As technology has improved, both in FDM printers and in filament material, demand has grown for FDM produced end-user components. The FDM process produces highly anisotropic parts, with mechanical properties varying based on layer height, infill density, air gap and printing pattern. To produce viable end-user components, it is necessary to be able to accurately predict the mechanical properties of a component given the above variables. |
| Proceedings Inclusion? |
Planned: |