| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
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| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Uncertainty Quantification in Laser Powder Bed Fusion from Mesoscale to Part Scale |
| Author(s) |
Daniel Moser, Nicole Aragon, Helen Cleaves, Michael Heiden, Jeffrey Horner, Kyle Johnson, Mario Martinez, Aashique Rezwan, Theron Rodgers, David Saiz, Michael Stender |
| On-Site Speaker (Planned) |
Daniel Moser |
| Abstract Scope |
Laser powder bed fusion (LPBF) is an inherently multiscale process with detailed physics at the powder particle scale impacting part scale behavior. Quantifying uncertainties in LPBF process models is an important step in building model credibility so results can be used to support decision-making, particularly for qualification. However, applying uncertainty quantification to the multiscale physics models needed to simulate the LPBF process is challenging as bridging length scales introduces model form uncertainty that is difficult to represent. The work investigates techniques for quantifying uncertainties between powder scale and part scale LPBF models in order to make credible predictions with uncertainty of the outcomes of the LPBF process, particularly part distortion and microstructural features. Predictions are compared with experimental results to assess the performance of the developed techniques.
This work was supported by the LDRD program at SNL, managed and operated by NTESS under DOE NNSA contract DE-NA0003525. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |