Ferreira, Stephanie ; Klein, Benjamin ; Stork, André ; Fellner, Dieter W. (2022):
Physics-driven digital twin for laser powder bed fusion on GPUs.
In: ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering,
SCIPEDIA, 8th European Congress on Computational Methods in Applied Sciences and Engineering, Oslo, Norway, 05.-09.06.2022, DOI: 10.23967/eccomas.2022.221,
[Conference or Workshop Item]
Abstract
Metal Additive Manufacturing (AM) processes such as Laser Powder Bed Fusion (LPBF) suffer from part distortion due to the localized melting and resolidification of the metal powder, which introduces stresses and strains. Despite becoming more and more important as a manufacturing process, options for simulating the printing process to predict the distortions are limited, especially because existing solutions often require very long computation times. In this work, we present the results of an implementation of the inherent strain method on graphics processing units (GPUs) that exploits the massive parallelism of the many GPU cores to speed up the simulations considerably compared to CPU-based implementations.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2022 |
| Creators: | Ferreira, Stephanie ; Klein, Benjamin ; Stork, André ; Fellner, Dieter W. |
| Title: | Physics-driven digital twin for laser powder bed fusion on GPUs |
| Language: | English |
| Abstract: | Metal Additive Manufacturing (AM) processes such as Laser Powder Bed Fusion (LPBF) suffer from part distortion due to the localized melting and resolidification of the metal powder, which introduces stresses and strains. Despite becoming more and more important as a manufacturing process, options for simulating the printing process to predict the distortions are limited, especially because existing solutions often require very long computation times. In this work, we present the results of an implementation of the inherent strain method on graphics processing units (GPUs) that exploits the massive parallelism of the many GPU cores to speed up the simulations considerably compared to CPU-based implementations. |
| Book Title: | ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering |
| Publisher: | SCIPEDIA |
| Uncontrolled Keywords: | Physically based simulation, General Purpose Computation on Graphics Processing Unit (GPGPU), 3D Printing |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Event Title: | 8th European Congress on Computational Methods in Applied Sciences and Engineering |
| Event Location: | Oslo, Norway |
| Event Dates: | 05.-09.06.2022 |
| Date Deposited: | 06 Jan 2023 10:12 |
| DOI: | 10.23967/eccomas.2022.221 |
| PPN: | 503547239 |
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