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Virtual Kinetics of Materials Laboratory : Polycrystalline Growth and Coarsening

This resource has a 5.4 Ranking

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Usage Stats
Overall Period: Updated 21 Nov, 2008
Users: 23
Jobs: 131
Avg. exec. time: 34 mins
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Avg. Review: 0.0 out of 5 stars
Citations: 0

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Available Versions

Version 0.1.1 - published on 18 Aug, 2008
Contributor(s) Michael Waters
Purdue University - West Lafayette

R. Edwin Garcia
Purdue University, West Lafayette
At a glance Simulates Growth, Impingement, and Coarsening of a Two Dimensional Polycrystal
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Description Virtual Kinetics of Materials Laboratory : Polycrystalline Growth and Coarsening simulates the growth, impingement, and then coarsening of a random distribution of crystallographically oriented nuclei. The user can control every aspect of the model such as the nuclei radius, the size of the simulation cell, and whether the grains are homogeneously dispersed or only on one wall of the simulation. . Default values are physical but arbitrary. The presented model is based on the phase field method (see cited literature below) and the example shown in the FiPy manual.

See other VKML modules here:

VKML : Dendritic Growth

VKML : Polycrystalline Growth and Coarsening

VKML : Spinodal Decomposition

VKML : Spinodal Decomposition 3D

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FiPy http://www.ctcms.nist.gov/fipy/

Rappture https://developer.nanohub.org/projects/rappture/

Credits

Michael Waters
And
R. Edwin García

References

Wheeler, Daniel, Jonathan E. Guyer, and James A. Warren. FiPy : User's Guide. 12 Feb. 2007. National Institute of Standards and Technology.

James A. Warren, Ryo Kobayashi, Alexander E. Lobkovsky, and W. Craig Carter, “Extending Phase
Field Models of Solidification to Polycrystalline Materials”. Acta Materialia, 51(20), (2003) 6035–6058,
URL http://dx.doi.org/10.1016/S1359-6454(03)00388-4. 43, 112, 115

Cite this work

If you reference this work in a publication, please cite as follows:

  • Waters, Michael; Garcia, R. Edwin (2008), "Virtual Kinetics of Materials Laboratory : Polycrystalline Growth and Coarsening," doi: 10254/nanohub-r5161.2.

    BibTex | EndNote

In addition, we would appreciate it if you would add the following acknowledgment to your publication:

  • Simulation services for results presented here were provided by the Network for Computational Nanotechnology (NCN) at nanoHUB.org
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