Dataset to the publication Fatigue crack propagation in functionally graded bi-material steel obtained through wire-arc additive manufacturing

DOI:10.4121/4194033b-d45c-4f4d-884b-63f0c27b4a02.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/4194033b-d45c-4f4d-884b-63f0c27b4a02

Datacite citation style

Galan Argumedo, Jose Luis; Suresh, Aswin; Ding, Zhaoying; Morete Barbosa Bertolo, Virginia; Reinton, Elise et. al. (2025): Dataset to the publication Fatigue crack propagation in functionally graded bi-material steel obtained through wire-arc additive manufacturing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4194033b-d45c-4f4d-884b-63f0c27b4a02.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Dataset to the publication Fatigue crack propagation in functionally graded bi-material steel obtained through wire-arc additive manufacturing. The dataset includes the data obtained from fatigue characterization and post-mortem analysis of the specimens tested from a bi-metal additively-manufactured parent specimen. The dataset includes:

  • ABAQUS FEM analysis results, including CAE model data with mesh, supports, loads and assembly conditions
  • Electron back-scatter diffraction (EBSD) data, including crystallographic maps and project datasets, as well as MTEX matlab code used to identify martensite variants from Focused Ion Beam-milled specimens examined under Transmission Kikuchi Diffraction (TKD).
  • Fatigue crack growth rate measurements, obtained from sub-size SENB specimens under constant force, constant \Delta K, and under load sheading schemes to obtain K_TH values.

History

  • 2025-07-09 first online, published, posted

Publisher

4TU.ResearchData

Format

ABAQUS model files /.cae; ABAQUS job files /.jnl; spreadsheets/.xlsx; OIM project files /.oim; crystallographic mapping meta-data files /.txt; PDF files /.pdf; Images /.png; jupyter notebook python files /.ipynb; Python scripts /.py Matlab MTEX functions /.m

Funding

  • Application of Functionally Graded Materials to Extra-Large Structures (grant code Grant agreement ID: 862017) [more info...] H2020 - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced materials

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Materials Science and Engineering

DATA

Files (1)