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DOE OSTI · 3030305

Wire-arc Additive Manufacturing Benchmark

Abstract

This is the dataset associated with the 2022 SRP Additive Manufacturing Prediction Challenge, originally hosted on Github at https://github.com/SRP-AM/SRP_AM_Prediction_Challenge. The benchmark was designed for validating prediction for the temperature history, residual stress, and distortion of an additively manufactured metal part with relatively simple geometry. A calibration problem with the same as-built geometry is provided with measured quantities of interest; including temperature histories at selective locations, post-build residual stress at selective locations, and overall distortion measurements. The challenge problem is presented with a different build sequence (i.e. thermal history). In this dataset, we include the actual recorded calibration and challenge measurements, as well as benchmark template files for testing predictions without incorporating the challenge data. Supplementary files around the materials and setup are available for transparency and reproducibility.

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BibTeXRIS

Bachus, Nicholas [UC Davis, Davis, CA], Henriksen, Amelia [Sandia National Laboratories (SNL)], Hill, Michael [University of California, Davis], Johnson, Kyle [Sandia National Laboratories (SNL)], Nycz, Andrzej [ORNL] (ORCID:0000000174156559), Masuo, Chris [ORNL] (ORCID:0000000341605658), Carter, William [ORNL] (ORCID:0000000203137534), Roy, Sougata [ORNL] (ORCID:0000000329501290), Simunovic, Srdjan [ORNL] (ORCID:0000000177668293), Sun, Xin [ORNL], Boyce, Brad [Sandia National Laboratories (SNL)]. 2026-03-01. Wire-arc Additive Manufacturing Benchmark. https://doi.org/10.18126/gsd5-hq69

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