| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
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| Symposium
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2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
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| Presentation Title |
Convergence Studies of Ensemble Kalman Filter Accuracy at Estimating Powder Bed Fusion Temperatures as a Function of Measurement Resolution |
| Author(s) |
Nathaniel Wood, Edwin Schwalbach, Sean Donegan, Andrew Gillman, David J. Hoelzle |
| On-Site Speaker (Planned) |
Nathaniel Wood |
| Abstract Scope |
Achieving in-situ quality control of the Laser Powder Bed Fusion (PBF) process is an ongoing challenge, and resolving process features near the melt pool is an area of active research. High-resolution infrared (IR) cameras can image these features directly, but the data is impractical to process in-situ, and using less detailed measurements typically requires large quantities of training data. An algorithm called the Ensemble Kalman Filter (EnKF) avoids the tradeoff between accurate feature identification and measurement resolution by self-tuning the correlation between features and measurement values. Here, our feature is the PBF temperature field, and our measurement is a combination of two IR cameras. We perform two tests of EnKF accuracy as measurement resolution, and the data processing burden, decreases: First, decreasing the source IR camera resolution, where performance asymptotes after the resolution exceeds a threshold. Second, the resolution of the combined measurement decreases, where no asymptote is present. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |