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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)

Project Identifier

MAT284

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

Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Category

  • 36 MATERIALS SCIENCE

Keywords

  • Microstructure,
  • Additive Manufacturing,
  • Cellular automata