Abstract
Two-phase microstructure calculated by Phase Field calculations is perturbed by Gaussian filtration processes to produce a series of deteriorated images. Fourier spectral analysis is, then, performed on the resultant images to derive information of spatial distribution of phases consisting of the microstructure. It is shown that Fourier spectrum is correlated with characteristic length involved in the microstructure. By inverting a particular spectrum peak, one can estimate the spatial distribution of a particular phase.
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This article is an invited paper selected from presentations at the Hume-Rothery Award Symposium on “Thermodynamics and Kinetics of Engineering Materials,” during TMS 2014, held February 16-20, 2014, in San Diego, Calif., and has been expanded from the original presentation. This symposium was held in honor of the 2014 Hume-Rothery award recipient, Rainer Schmid-Fetzer, for his seminal contributions to alloy thermodynamics and phase diagrams, both computationally and experimentally.
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Iseya, K., Miura, S. & Mohri, T. A Quantitative Evaluation of Phase Field Microstructure by the Spectral Analysis. J. Phase Equilib. Diffus. 35, 788–793 (2014). https://doi.org/10.1007/s11669-014-0338-2
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DOI: https://doi.org/10.1007/s11669-014-0338-2