Processing, microstructure, mechanical property dataset for laser powder bed fusion additively manufactured Ti-6Al-4V

Overview of dataset:

This dataset includes the processing-structure-mechanical property (PSP) features for the laser powder bed fusion additive manufactured (L-PBF AM) Ti-6Al-4V metallic material. The objective of this dataset is to provide quantitative data on the microstructural features, including defect features, and mechanical properties, that result from a range of processing conditions in Ti-6Al-4V by laser powder bed fusion. These data can provide information to reveal the processing-structure-property relationships in this alloy produced via additive manufacturing.

More details can be found in our publications:

• Effect of processing parameters on pore structures, grain features, and mechanical properties in Ti-6Al-4V by laser powder bed fusion. Luo, Q., Yin, L., Simpson, T.W. and Beese, A.M., 2022. Additive Manufacturing, p.102915. (Link: https://doi.org/10.1016/j.addma.2022.102915)
• Dataset of process-structure-property feature relationship for laser powder bed fusion additive manufactured Ti-6Al-4V material. Luo, Q., Yin, L., Simpson, T.W. and Beese, A.M., 2023. Data in Brief, p.108911. (Link: https://doi.org/10.1016/j.dib.2023.108911)

* Data repository updates:

• May 2022: Create the repository and upload the PSP feature table.
• Nov 2022: Upload raw data of surface roughness, Vickers microhardness, mechanical properties, prior-beta grain morphology, and defect pore morphology.
• Feb 2023: Upload raw data of engineering stress-stain curves.
• Apr 2023: Upload raw data of optical microscope images.
• Oct 2023: Update link to our new PSP experimental data repository for AlSi10Mg material.

Description of dataset files:

There are in total 7 files included in this data repository. One is the definitions of all the investigated process-structure-property (PSP) features investigated in this study, and the other 6 raw data measurements of each PSP feature: Details of the uploaded dataset files are listed below:

• PSP feature outline: "Ti-6Al-4V PSP feature table.xlsx". Overview of all the PSP feature values for 42 probed processing parameter sets, these data corresponded to the summarized statistical average and variation of each feature behavior, based on the raw data files uploaded. It included three main feature types, all the individual feature names, and their tested devices. Which are:
  1. Processing conditions: the prior fabrication designed processing parameters and the related descriptors.
     • Features included: laser power, scan speed, hatch spacing, layer thickness, linear energy density, modified volumetric energy density, and laser power multiplied by scan speed.
  2. Microstructural features: defect porosity, pore morphology, and Titanium prior-beta grain morphology tested via Archimedes testing, X-ray computed tomography, and optical microscopy.
     • Features included: pore volume fraction (Archimedes porosity), pore volume fraction (XCT porosity), pore quantity, pore equivalent diameter, pore sphericity, pore projected area on the cross-section plane, and surface roughness.
  3. Mechanical properties: mechanical behaviors tested via uniaxial tension tester and hardness indentation.
     • Features included: yield strength, ultimate tensile strength, elongation to necking, elongation to fracture, elastic modulus, and Vickers microhardness.
• Surface roughness: "surface roughness table.xlsx". Raw data of surface roughness, measured at different locations of the specimen surface, using XCT images with a resolution of 30 microns.
• Vickers microhardness: "vickers microhardness table.xlsx". Raw data of Vickers hardness indentations, measured at different dense locations of the polished sample surface. 8-10 indentations were made for each processing set sample.
• Mechanical properties: "mechanical property table.xlsx". Raw data of mechanical properties, including mechanical strength, elongation, and elastic modulus, collected via the stress-strain behavior under uniaxial tensile test. A total of 2 flat and 2 cylindrical ASTM E8/E8M geometry specimens were tested for each processing set, with results listed in separate Excel sheets.
• Prior-beta grain morphology: "prior-beta grain morphology.zip". Raw data of prior-beta grain measurements, extracted via image processing analysis on optical microscope images of etched samples.
  • Each separate Excel table within zip file belongs to one specific processing set, the morphology information of each individual grain was described via size and shape metrics.
• Defect pore morphology: "defect pore morphology.zip". Raw data of defect pore measurements, scanned and analyzed via X-ray computed tomography.
  • Each separate Excel table within zip file belongs to one specific processing set, the morphology information of each individual pore was described via size and shape metrics.
  • Raw XCT files: too large to be uploaded (~70GB), please contact if needed.
• Stress-strain curves: "stress-strain curves.zip". Raw data of engineering stress-strain curves, measured under uniaxial tensile tests.
  • Each separate Excel table within zip file belongs to one specimen group (2 flat and 2 cylindrical geometry), and each file includes full processing parameter set combinations (42 processing sets for each specimen group).
  • A total of 168 (42 times 4) engineering stress-strain data are provided within each sheet.
• Optical microscope images: "Ti64_OM_summary.pptx". Raw data of microstructures (grain), imaged under optical microscopy.
  • Description slide at first, a total of 42 optical microscope images were covered in this large slide.
  • Each slide includes one optical image in its original size, taken under the polished and etched sample grip region. The corresponding sample index, processing parameters, resultant tested mechanical properties, and the etchant information were given in each slide.

What's more?

If you are interested in our dataset on PSP behaviors for PBF-LB AM metallic materials, please feel free to check out our other similar repositories on Zenodo!

PBF-LB AlSi10Mg material (2023 update):

• Zenodo dataset: Processing, microstructure, and mechanical property dataset for AlSi10Mg fabricated by laser powder bed fusion additive manufacturing. Luo, Q., Huang, N., Fu, T., Wang, J., Bartles, D.L., Simpson, T.W. and Beese, A.M., 2023. (Link: https://zenodo.org/records/10008435)
• Original publication(s): New insight into the multivariate relationships among process, structure, and properties in laser powder bed fusion AlSi10Mg. Luo, Q., Huang, N., Fu, T., Wang, J., Bartles, D.L., Simpson, T.W. and Beese, A.M., 2023. Additive Manufacturing, p.103804. (Link: https://doi.org/10.1016/j.addma.2023.103804)