https://hdl.handle.net/11256/11 Fri, 10 Apr 2026 10:36:04 GMT 2026-04-10T10:36:04Z https://hdl.handle.net/11256/993 HMX microstructural data of beta, delta, and beta-reversion Cummock, Nicholas X-ray computed tomography of large HMX crystals, and scanning electron microscopy of focused ion beam milled/polished small HMX crystals of varying solid phases. https://hdl.handle.net/11256/993 https://hdl.handle.net/11256/988 Synthetic X-ray Microtomographic Image Data of Fiber-reinforced Composites Creveling, Peter; Whitacre, William; Czabaj, Michael A new algorithm was developed to segment three-dimensional fibers in multi-directional fiber-reinforced composites (FRCs) imaged using X-ray microtomography (µCT). Validation of the algorithm was performed using synthetic image stacks, which mimicked the quality and resolution of existing state-of-the-art X-ray systems. The synthetic image stacks used to validate the algorithm are included. Additionally included are .txt files containing the positions and diameters of each fiber cross-section within the image stacks and a README.txt file to explain further the contents of the .txt files. The reader is referred to the manuscript associated with this data set for further details regarding the generation of the data. Tue, 01 Jan 2019 00:00:00 GMT https://hdl.handle.net/11256/988 2019-01-01T00:00:00Z https://hdl.handle.net/11256/983 Materials Informatics Approach to Material Extrusion Additive Manufacturing Braconnier, Daniel; Peterson, Amy; Jensen, Robert Processing-structure-property relationships in material extrusion additive manufacturing are complex, non-linear, and poorly understood. In this work, we designed an informatics workflow for the collection of high pedigree data from each stage of the fused filament fabrication (FFF) printing process. In conjunction with a design of experiments, we applied the workflow to investigate the influences of processing parameters on weld strength across three commercially available FFF printers. Environmental, material, and print conditions that may impact performance were monitored to ensure that relevant data was collected in a consistent manner. Acrylonitrile butadiene styrene (ABS) filament was used to print ASTM D638-14 Type V tensile bars. Data was analyzed using multivariate statistical techniques, including principal component analysis. The magnitude of effect of extrusion temperature, layer thickness, print bed temperature, and print speed on the tensile properties of the final print were determined. The results demonstrated that printer selection is important and changes the impacts of print parameters. https://hdl.handle.net/11256/983 https://hdl.handle.net/11256/975 Raw and Processed Data to Generate Three-Dimensional Grain Map of Open-Cell Aluminum Foam Plumb, Jayden; Lind, Jonathan; Tucker, Joseph; Kelley, Ron; Spear, Ashley A three-dimensional grain map of an investment-cast, open-cell, aluminum foam is generated using a combination of experimentally derived and synthetically derived data. Specifically, the experimental data are derived from lab-source and synchrotron-source X-ray computed tomography (CT) and far-field high-energy X-ray diffraction microscopy (ff-HEDM). The grains detected from the experimental measurements are augmented with synthetically generated grains to fully populate a bulk sample of the foam. The raw or partially processed data include an image stack from lab-source X-ray CT measurements of a bulk, in-tact sample of foam; multiple image stacks from synchrotron-source X-ray CT measurements of individual ligaments that were extracted from the bulk sample of foam; and grain output files generated by HEXRD for each measured foam ligament. The processed data include a DREAM.3D pipeline file, supporting data files, and instructions for executing the pipeline to generate the three-dimensional grain-mapped foam reported in the manuscript associated with these data. README.txt files are provided in the data folders, which explain the contents of each folder. The reader is referred to the manuscript associated with this data set for further details regarding the generation of the data. Fri, 03 Aug 2018 00:00:00 GMT https://hdl.handle.net/11256/975 2018-08-03T00:00:00Z