DREAM3D In Use
Papers Citing DREAM3D¶
1 S D Sintay and A D Rollett. Testing the accuracy of microstructure reconstruction in three dimensions using phantoms. Modelling and Simulation in Materials Science and Engineering, 20(7):075005, 2012.
2 S. D. Sintay. Statistical microstructure generation and 3D microstructure geometry extraction. PhD thesis, Carnegie Mellon University, 2010.[3] Paul A Shade, Michael A Groeber, Jay C Schuren, and Michael D Uchic. Experimental measurement of surface strains and local lattice rotations combined with 3d microstructure reconstruction from deformed polycrystalline ensembles at the micro-scale. Integrating Materials and Manufacturing Innovation, 2, November 2013. [ http ]
4 Michael Uchic, Michael Groeber, Megna Shah, Patrick Callahan, Adam Shiveley, Michael Scott, Michael Chapman, and Jonathan Spowart. An Automated Multi-Modal Serial Sectioning System for Characterization of Grain-Scale Microstructures in Engineering Materials, pages 195-202. John Wiley & Sons, Inc., 2012.
5 S.P. Donegan, J.C. Tucker, A.D. Rollett, K. Barmak, and M. Groeber. Extreme value analysis of tail departure from log-normality in experimental and simulated grain size distributions. Acta Materialia, 61(15):5595 – 5604, 2013.DOI
6 Joseph C. Tucker, Lisa H. Chan, Gregory S. Rohrer, Michael A. Groeber, and Anthony D. Rollett. Comparison of grain size distributions in a ni-based superalloy in three and two dimensions using the saltykov method. Scripta Materialia, 66(8):554 – 557, 2012.DOI
7 A Cerrone, J Tucker, C Stein, A Rollett, and A Ingraffea. Micromechanical modeling of rene88dt: From characterization to analysis. In 2012 Joint Conference on the Engineering Mechanics Institute and the 11th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, Notre Dame, In, 2012.
8 Joseph C. Tucker, Lisa H. Chan, Gregory S. Rohrer, Michael a. Groeber, and Anthony D. Rollett. Tail departure of log-normal grain size distributions in synthetic three-dimensional microstructures. METALLURGICAL AND MATERIALS TRANSACTIONS A, 43A:2811-2822, August 2011. DOI
[9] J. Tucker. Synthetic Microstructure-Based Lifing of Ni-Based Superalloys. PhD thesis, Carnegie Mellon University, 2012.
[10] Paul G. Kotula, Gregory S. Rohrer, and Michael Marsh. Focused ion beam and scanning electron microscopy for 3d materials characterization. MRS Bulletin, 2013.
11 H. Beladi and G.S. Rohrer. The relative grain boundary area and energy distributions in a ferritic steel determined from three dimensional electron backscatter diffraction maps. Acta Materialia, 61:1404-1412, 2013.DOI
12 Michael A Jackson, Michael A Groeber, Michael D Uchic, David J Rowenhorst, and Marc De Graef.h5ebsd: an archival data format for electron back-scatter diffraction data sets.Integrating Materials and Manufacturing Innovation 2014, 3:4
13 Michael A Groeber and Michael A Jackson. DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D. Integrating Materials and Manufacturing Innovation 2014, 3:5. doi:10.1186/2193-9772-3-5
14 Tucker, J.C. & Spear, A.D. Integr Mater Manuf Innov (2019) 8: 247.
Research Utilizing DREAM3D¶
Carnegie Mellon University: Dr. Rollett’s group uses DREAM.3D for several projects. In work on grain boundary engineering (GBE) they use DREAM.3D to analyze 3D images of nickel undergoing grain growth in order to locate twin boundaries. In work on titanium alloys, they use DREAM.3D to generate synthetic microstructures for comparison with experimental EBSD data. In work on thermal barrier coatings they use it (heavily) to generate synthetic microstructures to represent the composite structure of base metal+bond coat+ thermal barrier coating. In work on tin whisker growth, they use it to generate synthetic microstructures to represent the substrate with the electrodeposited layer of tin on top.
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Dr. Rohrer’s group is using DREAM.3D to calculate the Grain Boundary Character Distribution (GBCD) of Magnesium Alloy AZ31 and also in building filters to compute the grain boundary plane distributions of other materials.
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Los Alamos National Lab: DREAM3D is used to analyze large datasets obtained from high-energy diffraction microscopy (HEDM) experiments. Contact Reeju Pokharel
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University of California at Santa Barbara: We currently have a Titanium 6-4 project with Carnegie Mellon & Cornell University that we use DREAM3D. A TMS talk in the titanium symposium in February though. Also, we are using DREAM3D for Strontium titanate project with KIT (Karlsruhe Institute of technology)
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Los Alamos National Lab sees a great potential in DREAM3D as a tool to help the development of predictive material behavior models where digital representations of real microstructures is absolutely necessary.
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DEAM3D is currently used to generate realistic 3D tantalum polycrystal volumes. Data from DEAM3D is imported in the ABAQUS pre-processor, capturing microstructural statistics for implementation in damage model development.The strategy is to mesh each grain independently and then reconstruct the volume so that we can either fully tie the boundaries together or allow for things like grain boundary deformation or separation.
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Future work proposed in a EFRC funding request will use DEAM3D to produce statistically equivalent 3D models for polycrystal calculations for aluminum and magnesium. Contact Veronica Livescu (vlivescu@lanl.gov) for more information.
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Wayne State University: Materials Engineering Students use DREAM3D in the research project “Entropy of grain boundaries”.