About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
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Symposium
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2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
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Presentation Title |
Component Level Comparison of On-machine Measurement to X-ray Computed Tomography of Octet Truss Lattices |
Author(s) |
Michael Juhasz, G. Guss, J. B. Forien, N. Calta |
On-Site Speaker (Planned) |
Michael Juhasz |
Abstract Scope |
On-machine measurement (OMM)/in-situ monitoring is a feature available on almost all production laser powder bed fusion (LPBF) machines in some form. Another commonplace activity is performing x-ray computed tomography (xCT) on completed parts to identify defects and for quality assurance. This work seeks to highlight productive comparisons between OMM and xCT at the component level. The process is aided by Deep Learning/Machine Learning (ML/DL) through accelerated image processing and segmentation. Specifically, pyrometry and photodiode data gathered in-situ will be compared to ex-situ xCT data of octet truss lattices. It is from these comparisons that we will examine whether OMM data can predict the final shape of a completed part. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |