About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Enabling Part-Scale Scanwise Process Simulation of Laser Powder Bed Fusion by Combining Matrix-free Finite Element Modeling, Adaptive Remeshing, and GPU Computing |
Author(s) |
Alaa Olleak, Albert To |
On-Site Speaker (Planned) |
Albert To |
Abstract Scope |
This work proposes to combine matrix-free finite element modeling (FEM), adaptive remeshing, and graphical processing unit (GPU) computing to enable scanwise process simulation of the Laser Powder Bed Fusion (L-PBF) process with temperature-dependent thermophysical properties at the part scale. Compared to the conventional FEM using the global stiffness approach and a uniform mesh running on 10 CPU cores, L-PBF process simulation based on the proposed methodology running on a GPU card with 5,120 Compute Unified Device Architecture (CUDA) cores enables a speedup of over 10,000x. This significant speedup facilitates detailed thermal history and melt pool geometry predictions at high resolution for centimeter-scale parts within days of computation time. Several parts consisting of various geometric features are simulated to reveal the effects of scan strategy and local geometry on melt pool size variation. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |