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Virtual Kinetics of Materials Laboratory: Dendritic Growth

This resource has a 5.7 Ranking

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Usage Stats
Overall Period: Updated 20 Nov, 2008
Users: 18
Jobs: 267
Avg. exec. time: 25 mins
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Google/IEEE
Avg. Review: 0.0 out of 5 stars
Citations: 0

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Supporting Documents

Version 0.2.1 - published on 18 Aug, 2008
Contributor(s) Michael Waters
Purdue University - West Lafayette

R. Edwin Garcia
Purdue University, West Lafayette
At a glance Simulates the Dendritic Solidification of a Single Spherical Nuclei
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  • Screenshot #1
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Description The Virtual Kinetics of Materials Laboratory : Dendritic Growth simulates the anisotropic solidification of a single seed with an N-fold axis of crystallographic symmetry. The competition between surface tension and heat transfer allows dendritic arms to grow. The user can control every aspect of the model such as the thermal diffusivity and the strength of the anisotropy. Default values are physical but arbitrary. This 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/

matplotlib http://matplotlib.sourceforge.net/

Written in Python www.python.org

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: Dendritic Growth," doi: 10254/nanohub-r4799.3.

    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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