| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
An Evaluation of a Programmatic Method for the Generation of Finite Element Event Series for Additive Manufacturing Against Machine Print Paths |
| Author(s) |
Chuyen J. Nguyen, David P. Failla, Matthew A. Register, Matthew W. Priddy |
| On-Site Speaker (Planned) |
Chuyen J. Nguyen |
| Abstract Scope |
A major challenge of using additive manufacturing (AM) processes is determining optimal process parameters for a specific geometry. Finite element (FE) modeling can reduce lead times and costs associated with process parameter calibration by predicting part deformation and residual stresses through the examination of different process parameters. For an accurate process-property relationship, there is a vital need for the simulated print path to resemble the real machine print path as closely as possible when using a moving heat source. This effort evaluated the difference between a new print path event series generator, AMTech, and print paths generated for usage by laser-powder bed fusion (L-PBF) AM systems for part fabrication. AMTech is a pre-processing tool that takes g-code generated with open-source software along with AM process parameters to generate print paths for use with FE simulations. Demonstrating the efficacy of AMTech will enable researchers to streamline their AM process parameter determination. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |