Characterization of Microstructure in Additively Manufactured 316L using Automated Serial Sectioning |
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| Affiliation: | 1. The U.S. Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375;2. National Research Council Postdoctoral Associate at the U.S. Naval Research Laboratory, Washington, DC 20375;1. ESRF – The European Synchrotron, Grenoble, France;2. Centrum Wiskunde & Informatica (CWI), NWO, Amsterdam, the Netherlands;3. Univ Lyon, INSA Lyon, CNRS, MATEIS UMR5510, France;1. MINES ParisTech, PSL University, MAT – Centre des mat́eriaux, CNRS UMR 7633, BP 87, 91003 Evry, France;2. Synchrotron SOLEIL, L’Orme des Merisiers, BP 48, 91192 Gif-sur-Yvette, France;3. ESRF, The European Synchrotron, CS 40220, 38043 Grenoble, France;4. INSA Lyon, MATEIS, University of Lyon, UMR 5510 CNRS, F-69621 Lyon, France;1. European Synchrotron Radiation Facility, 71, avenue des Martyrs, CS 40220, 38043 Grenoble CEDEX 9, France;2. InnoCryst Ltd, CTH, Daresbury Laboratory, Sci-Tech Daresbury, Keckwick Lane, Daresbury, Warrington WA4 4AD, United Kingdom;3. Laboratoire Materiaux, Ingenierie et Science, INSA Lyon, Universite de Lyon, 25 Avenue Jean Capelle, 69621 Villeurbanne, Cedex, France;4. Karlsruhe Institute of Technology (KIT), Institute for Photon Science and Synchrotron Radiation (IPS), Hermann-v.-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany;1. University of Michigan, Department of Materials Science and Engineering, Gerstacker Building, 2200 Bonisteel Blvd, Ann Arbor, MI 48109, United States;2. Cornell High Energy Synchrotron Source, 277 Wilson Lab, Ithaca, NY 14853, United States;3. Cornell University, Sibley School of Mechanical and Aerospace Engineering, 407 Upson Hall, Ithaca, NY 14853, United States |
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| Abstract: | A review is presented of recent advancements in characterization and automation and how this has led to a new generation of automated serial-sectioning facilities, which has allowed for the analysis of larger 3D datasets with thousands of objects of interest at high resolution. A case study is presented in which the Robotic Serial Sectioning System for 3D (RS3D) is used to analyze the correlation of the initialization of new grain orientations and defects within additively manufactured 316L steel. Finally, we provide a brief discussion of new technologies including new microscopy methods, machine learning, and sparse sampling that could potentially reduce the effort and cost of collecting and analyzing 3D microstructural data in the near future. |
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| Keywords: | 3D Characterization Serial Sectioning Electron Backscattered Diffraction Additive Manufacturing 316L Steel |
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