AM Bench 2022 Vat Photopolymerization Challenge Data: Resin properties, light engine calibration, and calibration print dimensions (AMB2022-07)

Description

This Photopolymer AM-Bench 2022 Challenge is to accurately model the relationship between photopatterned print fidelity and cure depth to exposure time with four resins, which serve to orthogonally probe the relationship between resin reactivity and viscosity. The data sets included here are broken down into three categories and are as follows: (1) resin characterization: Fourier transform infrared spectroscopy and rheometry, (2) light engine characterization: photomask dimensions, beam profilometry and radiometry, and (3) cure depth and profile: laser scanning confocal microscopy.

Resources

Name Format Description Link
57 AMB2022-07_BeamProfilometry.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_BeamProfilometry.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_BeamProfilometry.zip.sha256
57 AMB2022-07_BeamVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_BeamVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_BeamVP_Challenge.zip.sha256
57 AMB2022-07_OptSpecVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_OptSpecVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_OptSpecVP_Challenge.zip.sha256
57 AMB2022-07_RadVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_RadVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_RadVP_Challenge.zip.sha256
57 AMB2022-07_RheoVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_RheoVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_RheoVP_Challenge.zip.sha256
57 AMB2022-07_CaliperVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_CaliperVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_CaliperVP_Challenge.zip.sha256
57 AMB2022-07_LSCMVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_LSCMVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_LSCMVP_Challenge.zip.sha256
57 AMB2022-07_AFMVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_AFMVP_Challenge.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_AFMVP_Challenge.zip.sha256
57 AMB2022-07_FTIRVP_Challenge.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_FTIRVP_Challenge.zip
47 Readme file for all files in this dataset https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_FTIRVP_Challenge.zip.sha256
57 AMB2022-07_ChallengeDataset.zip https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_ChallengeDataset.zip
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/AMB2022-07_ChallengeDataset.zip.sha256
10 3032_README%20%282%29.docx https://data.nist.gov/od/ds/ark:/88434/mds2-3032/3032_README%20%282%29.docx
47 https://data.nist.gov/od/ds/ark:/88434/mds2-3032/3032_README%20%282%29.docx.sha256

Tags

  • photopolymer
  • afm
  • cure-depth
  • additive-manufacturing
  • ftir
  • vat-photopolymerization
  • laser-scanning-confocal-microscopy
  • rheology
  • radiometry

Topics

Categories