|About this Abstract
||2020 TMS Annual Meeting & Exhibition
||Characterization of Minerals, Metals and Materials
||Modeling the Anisotropic Mechanical Properties of Fused Deposition Modeling ABS using an Artificial Neural Network - Part 2
||Brian S. Kessler, Sarah Gladding, Aric Harper
|On-Site Speaker (Planned)
||Brian S. Kessler
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.