Characterization of Microstructure in Additively Manufactured 316L using Automated Serial Sectioning

David J. Rowenhorst1, Lily Nguyen2, Aeriel D. Murphy-Leonard2, Richard W. Fonda1
1The U.S. Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375
2National Research Council Postdoctoral Associate at the U.S. Naval Research Laboratory, Washington, DC 20375

Tài liệu tham khảo

Spanos, 2006, Foreword: Scripta materialia viewpoint set on 3D characterization and analysis of materials, Scripta Materialia, 55, 10.1016/j.scriptamat.2006.02.038 Thornton, 2008, Three-Dimensional Materials Science: An Intersection of Three-Dimensional Reconstructions and Simulations, MRS Bulletin, 33, 587, 10.1557/mrs2008.123 D.R. Clark, M. Rühle, D.N. Seidman (Eds.), Annual Reviews of Materials Research, Vol. 42, Annual Reviews, 2012. Maire, 2014, Quantitative X-ray tomography, International Materials Reviews, 59, 1, 10.1179/1743280413Y.0000000023 Echlin, 2020, Serial sectioning in the sem for three dimensional materials science, Current Opinions in Solid State and Materials Science, 20, 100817, 10.1016/j.cossms.2020.100817 Tewari, 1999, Effect of gravity on three-dimensional coordination number distribution in liquid phase sintered microstructures, Acta Materialia, 47, 3721, 10.1016/S1359-6454(99)00164-0 Kral, 1999, Three-dimensional analysis of proeutectoid cementite precipitates, Acta Materialia, 47, 711, 10.1016/S1359-6454(98)00321-8 Alkemper, 2001, Three-dimensional characterization of dendritic microstructures, Acta Materialia, 49, 897, 10.1016/S1359-6454(00)00355-4 Lund, 2002, The effects of elastic stress on microstructural development: the three-dimensional microstructure of a γ-γ′ alloy, Acta Materialia, 50, 2585, 10.1016/S1359-6454(02)00087-3 Spowart, 2006, Automated serial sectioning for 3-D analysis of microstructures, Scripta Materialia, 55, 5, 10.1016/j.scriptamat.2006.01.019 De Graef, 2006, A Modern 3-D View of an”Old” Pearlite Colony, JOM, 58, 25, 10.1007/BF02748491 Rowenhorst, 2006, Three-dimensional analysis of particle coarsening in high volume fraction solid–liquid mixtures, Acta Materialia, 54, 2027, 10.1016/j.actamat.2005.12.038 Rowenhorst, 2010, Three-dimensional analysis of grain topology and interface curvature in a β-titanium alloy, Acta Materialia, 58, 5511, 10.1016/j.actamat.2010.06.030 Wall, 2001, A high-resolution serial sectioning specimen preparation technique for application to electron backscatter diffraction, Ultramicroscopy, 88, 73, 10.1016/S0304-3991(01)00071-7 Uchic, 2006, 3D microstructural characterization of nickel superalloys via serial-sectioning using a dual beam FIB-SEM, Scripta Materialia, 55, 23, 10.1016/j.scriptamat.2006.02.039 Kotula, 2006, Tomographic spectral imaging with multivariate statistical analysis: Comprehensive 3d microanalysis, Microscopy and Microanalysis, 12, 36, 10.1017/S1431927606060193 Groeber, 2008, A framework for automated analysis and simulation of 3D polycrystalline microstructures. Part 1: Statistical characterization, Acta Materialia 56(6), 1257, 10.1016/j.actamat.2007.11.041 Zaefferer, 2008, Three-Dimensional Orientation Microscopy in a Focused Ion Beam-Scanning Electron Microscope: A New Dimension of Microstructure Characterization, Metallurgical and Materials Transactions A, 39, 374, 10.1007/s11661-007-9418-9 Kotula, 2014, Focused ion beam and scanning electron microscopy for 3D materials characterization, MRS Bulletin, 39, 361, 10.1557/mrs.2014.55 Zhong, 2017, The five-parameter grain boundary curvature distribution in an austenitic and ferritic steel, Acta Materialia 123, (C), 136 Burnett, 2016, Large volume serial section tomography by Xe Plasma FIB dual beam microscopy, Ultramicroscopy, 161, 119, 10.1016/j.ultramic.2015.11.001 Kelly, 2016, The five parameter grain boundary character distribution of α-Ti determined from three-dimensional orientation data, Acta Materialia, 111, 22, 10.1016/j.actamat.2016.03.029 Echlin, 2012, A new TriBeam system for three-dimensional multimodal materials analysis, Review of Scientific Instruments, 83, 10.1063/1.3680111 Echlin, 2014, Three-dimensional characterization of the permeability of W-Cu composites using a new ”TriBeam” technique, Acta Materialia, 64 (C), 307, 10.1016/j.actamat.2013.10.043 Echlin, 2015, The TriBeam system: Femtosecond laser ablation in situ SEM, Materials Characterization, 100, 1, 10.1016/j.matchar.2014.10.023 Polonsky, 2020, Solidification-driven orientation gradients in additively manufactured stainless steel, Acta Materialia, 183, 249, 10.1016/j.actamat.2019.10.047 M. Uchic, M. Groeber, M. Shah, P. Callahan, A. Shiveley, M. Scott, M. Chapman, J. Spowart, An automated multi-modal serial sectioning system for characterization of grain-scale microstructures in engineering materials, in: Proceedings of the 1st International Conference on 3D Materials Science, Springer International Publishing, 2012, pp. 195–202. doi:10.1007/978-3-319-48762-5_30. Boyce, 2019, Progress toward autonomous experimental systems for alloy development, MRS Bulletin, 44, 273, 10.1557/mrs.2019.75 Chua, 2015, 3D Printing and Additive Manufacturing: Principles and Applications, World Scientific Herzog, 2016, Additive manufacturing of metals, Acta Materialia, 117, 371, 10.1016/j.actamat.2016.07.019 Choo, 2019, Effect of laser power on defect, texture, and microstructure of a laser powder bed fusion processed 316l stainless steel, Materials and Design, 164, 10.1016/j.matdes.2018.12.006 Carlton, 2016, Damage evolution and failure mechanisms in additively manufactured stainless steel, Materials Science and Engineering: A, 651, 406, 10.1016/j.msea.2015.10.073 Yusuf, 2017, Investigation on porosity and microhardness of 316L stainless steel fabricated by selective laser melting, Metals, 7, 64, 10.3390/met7020064 Rao, 2016, Measurement and Analysis of Porosity in Al-10Si-1Mg Components Additively Manufactured by Selective Laser Melting, Materials Performance and Characterization, 5, 20160037, 10.1520/MPC20160037 Andreau, 2019, A competition between the contour and hatching zones on the high cycle fatigue behaviour of a 316L stainless steel: Analyzed using X-ray computed tomography, Materials Science and Engineering: A, 757, 146, 10.1016/j.msea.2019.04.101 Biswal, 2019, Interrupted fatigue testing with periodic tomography to monitor porosity defects in wire + arc additive manufactured Ti-6Al-4V, Additive Manufacturing, 28, 517, 10.1016/j.addma.2019.04.026 Schmidt, 2004, Watching the growth of bulk grains during recrystallization of deformed metals, Science, 305, 229, 10.1126/science.1098627 Hefferan, 2009, Statistics of High Purity Nickel Microstructure From High Energy X-ray Diffraction Microscopy, Cmc-Computers Materials & Continua, 14, 209 McDonald, 2015, Non-destructive mapping of grain orientations in 3D by laboratory X-ray microscopy, Scientific Reports, 5, 10.1038/srep14665 Brewick, 2019, NLPAR: Non-local smoothing for enhanced EBSD pattern indexing, Ultramicroscopy, 200, 50, 10.1016/j.ultramic.2019.02.013 Nolze, 2007, Image distortions in SEM and their influences on EBSD measurements, Ultramicroscopy, 107, 172, 10.1016/j.ultramic.2006.07.003 Charpagne, 2019, Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm, Materials Characterization, 150, 184, 10.1016/j.matchar.2019.01.033 Lenthe, 2015, Quantitative voxel-to-voxel comparison of TriBeam and DCT strontium titanate three-dimensional data sets, Journal of Applied Crystallography, 48, 1034, 10.1107/S1600576715009231 Felzenszwalb, 2012, Distance transforms of sampled functions, Theory of Computing, 8, 415, 10.4086/toc.2012.v008a019 Russ, 2007 Wang, 2007, Aqueous lixiviants: Principle, types, and applications, JOM, 59, 37, 10.1007/s11837-007-0129-x Wadell, 1935, Volume, shape, and roundness of quartz particles, The Journal of Geology, 43, 250, 10.1086/624298 Cunningham, 2017, Synchrotron-based X-ray microtomography characterization of the effect of processing variables on porosity formation in laser power-bed additive manufacturing of Ti-6Al-4V, JOM, 69, 479, 10.1007/s11837-016-2234-1 Barnhart, 2017 Bidare, 2018, Fluid and particle dynamics in laser powder bed fusion, Acta Materialia, 142, 107, 10.1016/j.actamat.2017.09.051 Böhme, 2018, Crystal c-axis mapping of hcp metals by conventional reflected polarized light microscopy: Application to untextured and textured cp-titanium, Materials Characterization, 145, 573, 10.1016/j.matchar.2018.09.024 B.G. Hoover, J.H. Turner, B.J. Ritter, J.R. Michael, M.D. Uchic, Polarized reflectivity for quantitative crystallography of alpha-titanium, Reflection, Scattering, and Diffraction from Surfaces VI doi:10.1117/12.2321601. Jin, 2018, Correlation of c-axis orientation of a-titanium grains with polarized light optical microscopy intensity profiles, Microscopy and Microanalysis, 24, 548, 10.1017/S1431927618003239 Arganda-Carreras, 2017, Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification, Bioinformatics, 33, 2424, 10.1093/bioinformatics/btx180 Kauffmann, 2009, Seeded ND medical image segmentation by cellular automaton on GPU, International Journal of Computer Assisted Radiology and Surgery, 5, 251, 10.1007/s11548-009-0392-0 Chen, 2015, A dictionary approach to electron backscatter diffraction indexing, Microscopy and Microanalysis, 21, 739, 10.1017/S1431927615000756 Foden, 2019, Indexing electron backscatter diffraction patterns with a refined template matching approach, Microscopy and Microanalysis, 25, 1962, 10.1017/S1431927619010547 Lenthe, 2019, A spherical harmonic transform approach to the indexing of electron back-scattered diffraction patterns, Ultramicroscopy, 207, 10.1016/j.ultramic.2019.112841 Lafond, 2018, Electron channeling orientation determination (eCHORD): An original approach to crystalline orientation mapping, Ultramicroscopy, 186, 146, 10.1016/j.ultramic.2017.12.019 Lafond, 2020, Towards large scale orientation mapping using the eCHORD method, Ultramicroscopy, 208, 10.1016/j.ultramic.2019.112854 G.D. Godaliyadda, D.H. Ye, M.D. Uchic, M.A. Groeber, G.T. Buzzard, C.A. Bouman, A supervised learning approach for dynamic sampling, in: IS and T International Symposium on Electronic Imaging Science and Technology, Vol. 2016, Society for Imaging Science & Technology, 2016, pp. 1–8. doi:10.2352/issn.2470-1173.2016.19.coimg-153. Zhang, 2018, Reduced electron exposure for energy-dispersive spectroscopy using dynamic sampling, Ultramicroscopy, 184, 90, 10.1016/j.ultramic.2017.10.015 Tong, 2019, Rapid electron backscatter diffraction mapping: Painting by numbers, Materials Characterization, 147, 271, 10.1016/j.matchar.2018.11.014 Swedlow, 2003, Informatics and quantitative analysis in biological imaging, Science, 300, 100, 10.1126/science.1082602