Code accompanying the paper "Modeling the effect of prior austenite grain size on bainite formation kinetics."

doi: 10.4121/0844b120-434e-47ca-95a1-1c1464f6a2f3.v2
The doi 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: 10.4121/0844b120-434e-47ca-95a1-1c1464f6a2f3
Datacite citation style:
dos Santos Avila, Daniel; Offerman, Erik; J. Santofimia, Maria (2024): Code accompanying the paper "Modeling the effect of prior austenite grain size on bainite formation kinetics.". Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/0844b120-434e-47ca-95a1-1c1464f6a2f3.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
choose version:
version 2 - 2024-05-16 (latest)
version 1 - 2023-07-26
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usage stats
152
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259
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geolocation
Delft, The Netherlands
time coverage
2023
licence
MIT

This dataset contains the Python code of the model developed for the publication: Modeling the effect of prior austenite grain size on bainite formation kinetics. It contains three examples showing how to simulate the kinetics of bainite formation and how to extract the model parameters by fitting experimental data of bainite formation to the model.

history
  • 2023-07-26 first online
  • 2024-05-16 published, posted
publisher
4TU.ResearchData
funding
  • MartBain (grant code 899251) Research Fund for Coal and Steel
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3ME), Department of Materials Science and Engineering

DATA

files (9)