2021
DOI: 10.3390/ma14237240
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Electron-Optical In Situ Imaging for the Assessment of Accuracy in Electron Beam Powder Bed Fusion

Abstract: The current study evaluates the capabilities of electron-optical (ELO) in situ imaging with respect to monitoring and prediction of manufacturing precision in electron beam powder bed fusion. Post-process X-ray computed tomography of two different as-built parts is used to quantitatively evaluate the accuracy and limitations of ELO imaging. Additionally, a thermodynamic simulation is performed to improve the understanding of ELO data and to assess the feasibility of predicting dimensional accuracy numerically.… Show more

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Cited by 9 publications
(3 citation statements)
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“…More details can be found in Section 2.1.3 and Appedix A. In the case of the 2nd scattering event, s 1,k replaces d which allows to compute N 1,k with the respective α 1,k and β 1,k as defined by Equation (7). All other dependencies of g BSE are omitted here for the sake of brevity.…”
Section: Model Definitionmentioning
confidence: 99%
See 1 more Smart Citation
“…More details can be found in Section 2.1.3 and Appedix A. In the case of the 2nd scattering event, s 1,k replaces d which allows to compute N 1,k with the respective α 1,k and β 1,k as defined by Equation (7). All other dependencies of g BSE are omitted here for the sake of brevity.…”
Section: Model Definitionmentioning
confidence: 99%
“…Recently, Electron optical (ELO) imaging has been demonstrated to be a successful, reliable process monitoring method in electron beam powder bed fusion (PBF-EB), which has been used to develop process parameters [5], defection detection [6] or the assessment of dimensional accuracy [7]. After melting, the solidified build surface is scanned in a separate additional process step with a focused and low-power electron beam.…”
Section: Introductionmentioning
confidence: 99%
“…ELO imaging has been shown to provide excellent topographical information [ 2 , 3 , 5 , 6 ]. Applications include: developing process windows for new materials [ 7 ], developing part-specific scan strategies for complex geometries [ 8 , 9 ] and process monitoring for defect detection [ 10 ].…”
Section: Introductionmentioning
confidence: 99%