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ExaCA grain structure predictions for laser powder bed fusion processing

  • Rolchigo, Matthew | Oak Ridge National Laboratory
  • Coleman, John | Oak Ridge National Laboratory
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Overview

Description

This dataset contains simulated cross-sections of laser powder bed fusion grain structures produced using the microstructure model ExaCA, in turn using time-temperature history data produced using the heat transport model AdditiveFOAM. These predictions show the grain structure using various permutations of hatch spacing and nucleation density. Also contained in the dataset are the input files necessary to reproduce the results. AdditiveFOAM (https://github.com/ORNL/AdditiveFOAM) and ExaCA (https://github.com/LLNL/ExaCA), both open source software, are required to reproduce the results in this dataset using the given input files.

Funding resources

DOE contract number

DE-AC05-00OR22725

Originating research organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring organization

Office of Energy Efficiency and Renewable Energy (EERE);Advanced Materials and Manufacturing Technologies Office (AMMTO)

Details

DOI

10.13139/OLCF/2428925

Release date

August 27, 2024

Dataset

Dataset type

AS Animations/Simulations

Software

AdditiveFOAM and ExaCA open source software are both required to reproduce the results in this dataset using the given input files.

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/OLCF/2428925 is provided by the U.S. Department of Energy, project MAT284 under Contract DE-AC05-00OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.

Category

  • 36 MATERIALS SCIENCE

Keywords

  • Microstructure,
  • Additive Manufacturing,
  • Cellular automata