Published October 4, 2023 | Version 10-16-2023
Journal article Open

Processing, microstructure, and mechanical property dataset for AlSi10Mg fabricated by laser powder bed fusion additive manufacturing

  • 1. Department of Material Science and Engineering, Pennsylvania State University
  • 2. Department of Chemistry, Pennsylvania State University
  • 3. Manufacturing Technology Deployment Group, Inc
  • 4. Department of Materials Science and Engineering and Mechanical Engineering, Pennsylvania State University
  • 5. Department of Industrial and Manufacturing Engineering and Mechanical Engineering, Pennsylvania State University

Contributors

Contact person:

  • 1. Department of Material Science and Engineering, Pennsylvania State University

Description

Overview of dataset:

This data repository provides experimental raw data on the processing, structure, and mechanical property (PSP) features investigated on the AlSi10Mg material, fabricated by laser powder bed fusion additive manufacturing process (PBF-LB AM). The physical samples were fabricated with wide processing parameter ranges to intentionally probe different processing defect regimes, which resulted in dramatic variations in the responding defect pores, grain/sub-grain structures, and mechanical properties. The goal of this repository is to provide a quantitative and comprehensive material dataset that can be used to reveal the underlying process-structure-property relationships for the PBF-LB AlSi10Mg.

More details can be found in our 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)

* Data repository updates:

  • Oct 2023: published the repository.
    • Uploaded the PSP feature table
    • Uploaded microstructure (pore) raw data: surface roughness, sample geometry, Archimedes measurements, pore morphology (zip)
    • Uploaded microstructure (grain/cell) data: grain/cell morphology, ESBD (grain) and SEM (cell) images.
    • Uploaded mechanical property raw data: Vickers microhardness, mechanical properties, and engineering stress-stain curves (zip)

Description of dataset files:

There are in total 2 files included in this data repository.

One is the definition of all the investigated process-structure-property (PSP) features investigated in this study, and the others (upcoming) will be the raw data measurements of each PSP feature. Details of the uploaded dataset files are listed below:

* Abbreviations - FR (feature or tabular raw data), IR (image raw data)

  • PSP feature outline: "AlSi10Mg PSP feature table.xlsx". Overview of all the investigated PSP feature values for a total of 60 probed processing parameter sets, including two main hatch spacing settings (100/150um). 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 data: 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. Structural data: surface roughness, defect porosity, and pore morphology characterized via Archimedes density testing and X-ray computed tomography (XCT), grain morphology characterized via scanning electron microscope (SEM) and electron backscatter diffraction (EBSD), and sub-grain cellular morphology characterized via SEM.
      • Features included: surface roughness (AVG and RMS), pore volume fraction (Archimedes and XCT porosity), pore equivalent diameter, pore sphericity, grain equivalent diameter, grain circularity, grain eccentricity, and cell equivalent diameter.
    3. Mechanical property data: mechanical behaviors tested via uniaxial tension (UT) tester and hardness indentation.
      • Features included: yield strength, ultimate tensile strength, elongation to fracture, elastic modulus, and Vickers microhardness.
  • Surface roughness: "[FR] 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. Measured on 1 full set group, a total of 60 samples.
  • Sample geometry: "[FR] Sample geometry table.xlsx". Raw data of sample geometry measurement at the gauge region, measured by caliper (accuracy of 0.001). These data were used for calculating the average cross-section area, and then calculating the axial engineering stress during the tensile test. Measured on 3 full set groups, a total of 180 samples.
  • Archimedes porosity: "[FR] Archimedes porosity table.xlsx". Raw data of Archimedes density measurement, samples were immersed in DI water. Measured on 1 full set group, a total of 60 samples.
  • Vickers microhardness: "[FR] Vickers microhardness table.xlsx". Raw data of Vickers microhardness measurement, 10 indentations per sample were applied at the dense regions on the polished sample surface. Measured on 1 full set group, a total of 60 samples.
  • Mechanical property: "[FR] Mechanical property table.xlsx". Raw data of mechanical properties extracted from stress-strain curves from uniaxial tensile test, including ultimate tensile strength, elongation to fracture, yield strength, and elastic modulus. Measured on 3 full set groups, a total of 178 samples.
  • Stress-strain curves: "stress-strain curves.zip". Raw data of engineering stress-strain curves, measured under uniaxial tensile tests.
    • "[FR] Stress-strain curve table - group#.xlsx" Each separate Excel table within the zip file belongs to one group of full-processing parameter sample sets.
    • A total of 178 engineering stress-strain data are provided using 3 individual sheets, group 1/2/3 with 60/58/60 samples, respectively.
  • Defect pore morphology: "Defect pore morphology.zip". Raw data of size and shape information for each single pore, characterized via XCT and segmented with image processing tools. Measured on 1 full set group, a total of 60 samples.
    • "[FR] XCT_pore_G3S#.xlsx" Each separate Excel table within the zip file belongs to each individual processing parameter set sample.
    • Inside each file, the measurement on each single pore, the size (surface area, diameter, volume), and shape (circularity) values are provided.
    • Raw XCT files: too large to be uploaded (~76GB), please contact if needed.
  • Grain image: "[IR ]EBSD AlSi10Mg grain.pptx". Raw data of grain structures micrographs imaged under EBSD, summarized in the slide. Imaging on small hatch spacing sets (1-32), a total of 32 samples.
  • Cell image: "[IR] SEM AlSi10Mg cell.pptx" and "[IR] SEM AlSi10Mg cell (high magn).zip". Raw data of cell structures micrographs imaged under SEM, the low magn (2000x) images are summarized in the slide, and all individual raw SEM images (low and high magn, 2000x & 5000x) are in the zip file. Imaging on small hatch spacing sets (1-32), a total of 32 samples.
  • Grain/cell morphology: "Grain-cell morphology.zip". Raw data of size and shape information for each single grain/cell, and the statistical summarization (mean/std/med) over each sample set, characterized via grain/cell microstructure images and segmented with image processing tools. Imaging on small hatch spacing sets (1-32), a total of 32 samples.

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 Ti6Al4V material (2022 update):

  • Zenodo dataset: Processing, microstructure, mechanical property dataset for laser powder bed fusion additively manufactured Ti-6Al-4V. Luo, Q., Yin, L., Simpson, T.W. and Beese, A.M., 2022. (Link: https://zenodo.org/records/6587905)
  • Original publication(s):
    • 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)

Files

[IR] SEM AlSi10Mg cell (high magn).zip

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Additional details

Related works

Is supplemented by
Journal article: 10.1016/j.addma.2023.103804 (DOI)