AM Bench 2022 challenge Macroscale Tensile Tests at Different Orientations (CHAL-AMB2022-04-MaTTO)

Description

Additively manufactured (AM) laser powder bed fusion (PBF-L) Inconel 625 blocks were built with two different scan strategies: XY and X-only.  96 tensile specimens were extracted from blocks at different tensile axis orientations with respect to the build direction to yield the following conditions: XY scan strategy (0, 30, 45, 60, and 90 degree orientation w.r.t. build direction) and X-only scan strategy (0, 60, 90 degree orientation w.r.t. build direction).  Tensile testing was performed at room temperature using a quasistatic strain rate of 0.001/s to failure.  Microstructure was measured using x-ray computed tomography (XRCT) and scanning electron microscopy (SEM) techniques on representative specimens of each scan strategy.  Large-area electron backscatter diffraction was used to measure crystallographic texture and grain size/morphology for three orthogonal planes.  Backscatter electron imaging was used to characterize the subgrain structure and assess recast layer thickness from electric discharge machining.  Electron channeling contrast imaging was used to estimate dislocation density.  XRCT was used to analyze the pore population.  Literature sources were used to estimate phase fraction, residual stress, and the single crystal C-tensor.  All processing details, specimen preparation details, tensile test method details, and microstructure measurements are provided for both XY and X-only scan strategies. Additionally, true stress strain curves for all XY-scan strategy, 0 degree orientation specimens are provided.  Predictions are requested for the bulk/continuum stress strain behavior of as-built Inconel 625 tensile specimens at different orientations (XY-scan strategy 30, 45, 60, 90 degree orientation w.r.t. build direction) and scan strategy (X-only scan strategy 0, 60, and 90 degree orientation w.r.t. build direction).

Resources

Name Format Description Link
47 https://data.nist.gov/od/ds/ark:/88434/mds2-2588/Macroscale_CHAL-AMB2022-04-MaTTO.zip.sha256
53 prediction%20template_CHAL-AMB2022-04-MaTTO.xlsx https://data.nist.gov/od/ds/ark:/88434/mds2-2588/prediction%20template_CHAL-AMB2022-04-MaTTO.xlsx
33 read%20me_CHAL-AMB2022-04-MaTTO.pdf https://data.nist.gov/od/ds/ark:/88434/mds2-2588/read%20me_CHAL-AMB2022-04-MaTTO.pdf
47 https://data.nist.gov/od/ds/ark:/88434/mds2-2588/read%20me_CHAL-AMB2022-04-MaTTO.pdf.sha256
57 Macroscale_CHAL-AMB2022-04-MaTTO.zip https://data.nist.gov/od/ds/ark:/88434/mds2-2588/Macroscale_CHAL-AMB2022-04-MaTTO.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-2588/prediction%20template_CHAL-AMB2022-04-MaTTO.xlsx.sha256
57 answers for AM Bench 2022 challenge CHAL-AMB2022-04-MaTTO https://data.nist.gov/od/ds/mds2-2588/ANSWERS%20Macroscale_CHAL-AMB2022-04-MaTTO.zip

Tags

  • benchmark
  • additive-manufacturing
  • mechanical-characterization
  • microstructure-characterization
  • metal
  • am-bench

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