Micromagnetic modeling numerically solves magnetization evolution equation to
process magnetic domain analysis, which helps to understand the macroscopic
magnetic properties of ferromagnets. To apply this method in simulation of
magnetostrictive ferromagnets, there exist two main challenges: the complicated microelasticity
due to the magnetostrictive strain, and very expensive computation mainly
caused by the calculation of long-range magnetostatic and elastic interactions. A
parallel computing for phase field model based on computer cluster is then developed
as a promising tool for domain analysis in magnetostrictive ferromagnetic materials.
We have successfully built an 8-node Apple workgroup cluster, deploying the
hardware system and configuring the software environment, as a platform for parallel
computation of phase field model of magnetic materials. Several testing programs have
been implemented to evaluate the performance of the cluster system, especially for the
application of parallel computation using MPI. The results show the cluster system can simultaneously support up to 32 processes for MPI program with high performance of
interprocess communication.
The parallel computations of phase field model of magnetic materials implemented by
a MPI program have been performed on the developed cluster system. The simulated
results of a single domain rotation in Terfenol-D crystals agree well with the theoretical
prediction. A further simulation including magnetic and elastic interaction among
multiple domains shows that we need take into account the interaction effects in order
to accurately characterize the magnetization processes in Terfenol-D. These simulation
examples suggest that the paralleling computation of the phase field model of magnetic
materials based on a powerful cluster system is a promising technology that meets the
need of domain analysis.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2009-05-721 |
| Date | 16 January 2010 |
| Creators | Huang, Yongxin |
| Contributors | Jin, Yongmei |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis |
| Format | application/pdf |
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