Article
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The Temperature Inside the Part in Powder Bed Fuison
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Version 1
: Received: 24 January 2021 / Approved: 25 January 2021 / Online: 25 January 2021 (10:43:49 CET)
How to cite: Nathaniel, W.; David, H. The Temperature Inside the Part in Powder Bed Fuison. Preprints 2021, 2021010476. https://doi.org/10.20944/preprints202101.0476.v1 Nathaniel, W.; David, H. The Temperature Inside the Part in Powder Bed Fuison. Preprints 2021, 2021010476. https://doi.org/10.20944/preprints202101.0476.v1
Abstract
Powder Bed Fusion (PBF) is a type of Additive Manufacturing (AM) technology that builds parts in a layer-by-layer fashion out of a bed of metal powder via the selective melting action of a laser or electron beam heat source. The technology has become widespread, however the demand is growing for closed loop process monitoring and control in PBF systems to replace the open loop architectures that exist today. This paper demonstrates the simulated efficacy of applying closed-loop state estimation to the problem of monitoring temperature fields within parts during the PBF build process. A simplified LTI model of PBF thermal physics with the properties of stability, controllability and observability is presented. An Ensemble Kalman Filter is applied to the model. The accuracy of this filters’ predictions are assessed in simulation studies of the temperature evolution of various test parts when subjected to simulated laser heat input. The significant result of this study is that the filter supplied predictions that were about 2.5x more accurate than the open loop model in these simulation studies.
Keywords
Additive Manufacturing; Binder Jetting
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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